{"id":"W7124250485","doi":"10.65109/oett5987","title":"Group Fairness in Peer Review","year":2023,"lang":"","type":"article","venue":"","topic":"Mobile Crowdsensing and Crowdsourcing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Core (optical fiber); Group (periodic table); Isolation (microbiology); Peer group; Simple (philosophy)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.04350017,0.001235907,0.002935369,0.002361149,0.004367395,0.005520003,0.004941175,0.004366271,0.007845267],"category_scores_gemma":[0.1235076,0.0009088304,0.00142099,0.002673393,0.006741288,0.01045301,0.00545956,0.004118806,0.002097378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004368077,"about_ca_system_score_gemma":0.005953405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0020478,"about_ca_topic_score_gemma":0.001411498,"domain_scores_codex":[0.9528232,0.02918793,0.00137674,0.007068349,0.007021183,0.002522615],"domain_scores_gemma":[0.8663716,0.09395595,0.007653369,0.01878768,0.009527842,0.003703695],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002963203,0.00008654143,0.001423593,0.0003357426,0.00009441099,0.0001443346,0.0007984775,0.03868263,0.0007626853,0.8949829,0.007668875,0.05472355],"study_design_scores_gemma":[0.00009887775,0.00009773855,0.0003551529,0.0000573522,0.00003352603,0.0001196902,0.0001179212,0.07305355,0.0005363745,0.913938,0.01155996,0.00003173188],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0341245,0.00302138,0.9166452,0.00830877,0.0009803433,0.0004926827,0.000223829,0.0004735437,0.03572988],"genre_scores_gemma":[0.7682891,0.001816534,0.2046639,0.001565571,0.002159499,0.0009009751,0.0002053101,0.0003104444,0.02008869],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9564998,"threshold_uncertainty_score":0.2300537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04003123301028782,"score_gpt":0.293988313757616,"score_spread":0.2539570807473281,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}