{"id":"W4403118224","doi":"10.1016/j.jcjo.2024.09.002","title":"Gender and personalized profile information influence online ratings of Canadian academic ophthalmologists","year":2024,"lang":"en","type":"article","venue":"Canadian Journal of Ophthalmology","topic":"Diversity and Career in Medicine","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; McGill University; University of British Columbia","funders":"","keywords":"Psychology; Medical education; Optometry; Medicine; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.001306602,0.000158782,0.0002175849,0.001221267,0.001419214,0.002341028,0.0004043828,0.0007723946,0.01315448],"category_scores_gemma":[0.02023139,0.0001256568,0.0003627258,0.001344413,0.0003516895,0.0006966033,0.0008111913,0.0006785173,0.001174119],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002925625,"about_ca_system_score_gemma":0.003590228,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5115329,"about_ca_topic_score_gemma":0.6589913,"domain_scores_codex":[0.9985618,0.0002618409,0.00006790907,0.0001049802,0.0006472614,0.0003563486],"domain_scores_gemma":[0.9786538,0.007147826,0.003551844,0.0005348185,0.005049594,0.005062003],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005965499,0.0001739511,0.9572814,0.00006090731,0.00006886468,0.0001238716,0.004122869,0.0001342458,0.0004069796,0.000232185,0.009499425,0.02729887],"study_design_scores_gemma":[0.00001470877,0.00005123973,0.989516,0.00004021178,0.00003154339,0.00005914132,0.006180653,0.000351381,0.0001018705,0.00009993036,0.003529697,0.00002359563],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9785785,0.0003537168,0.00007137242,0.001193883,0.00007197187,0.00002165641,0.001083563,0.00001516912,0.01861019],"genre_scores_gemma":[0.9953064,0.0001642414,0.00009669414,0.0002024921,0.00003968452,0.000006632878,0.000388265,0.000009254382,0.003786321],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9987788,"threshold_uncertainty_score":0.9826875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05693377427455591,"score_gpt":0.3252489761950679,"score_spread":0.268315201920512,"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."}}