Dashboard Statistics - Unjournal Prioritization

Evaluation-Priority Ratings ?These scores estimate how valuable it would be for The Unjournal to commission an evaluation. They are not judgments of research quality.

Compare current human judgments with AI assessments using the same 0–100 overall scale and parallel 0–10 dimensions.

Only anonymous aggregates from accepted submissions are shown. Small subgroup summaries are suppressed.

Rating source ?Human shows each rater’s latest accepted response. AI shows one current model assessment per scored paper. Both compares them without averaging the two sources together.

Rating category ?Overall priority uses a 0–100 scale. Optional dimensions use 0–10. AI dimensions map to the corresponding model criteria described in the note below.

Break down by ?Cause area compares human and AI ratings. Choosing rater group or input type switches the source to Human because those categories have no AI equivalent.

Histogram sample ?Choose all available observations or one subgroup. The summary cards and histogram update together.

Current-rating distribution

Grouped rating spread

Human AI middle 50% median average

Human and AI Evaluation Priority by Paper ?Points above the diagonal have higher human than AI ratings; points below it have higher AI ratings. This is descriptive, especially where human n is small.

Hover or focus a point for the paper name and scores; click it to open the paper.

Point size increases with the number of current human ratings. With small samples, differences are descriptive and should not be treated as evidence of systematic disagreement.

Papers by AI Screening Recommendation ?These are model-generated screening categories, not Unjournal team decisions. “AI shortlist” means the model recommends human assessment next; a shortlisted paper may not yet have any human rating.

“AI shortlist” corresponds to the internal prioritize_now model output. Operationally, these papers enter the “needs assessor rating” stage.

Papers by Scoring Source / Model ?Counts show the model or curated scoring source recorded for each paper. Historical and manually imported records are distinguished from model assessments.

manual_public_followup is a curated/imported animal-welfare follow-up batch, not public quick-rate votes and not an AI model.

Top Papers by Human–AI Synthesis ?Choose whether this table ranks by the current AI assessment, the evidence-weighted human aggregate, or the same Human–AI synthesis used on the main dashboard.

Rank by

Synthesis	Paper	Cause Area	AI screening	Source / Model

Prioritization Dashboard Statistics