{"id":"W4315607547","doi":"10.36834/cmej.76325","title":"Medical students benefit from becoming peer reviewers","year":2022,"lang":"en","type":"letter","venue":"Canadian Medical Education Journal","topic":"Health and Medical Research Impacts","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Peer review; Computer science; Data science; Medical education; World Wide Web; Medicine; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01485271,0.0007037329,0.001393192,0.0009190619,0.009229318,0.01049697,0.002307807,0.0439638,0.0151369],"category_scores_gemma":[0.1268709,0.0006906656,0.001091004,0.001093474,0.00609864,0.008106902,0.007107646,0.0340229,0.01718598],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003503633,"about_ca_system_score_gemma":0.01699827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006346309,"about_ca_topic_score_gemma":0.02589701,"domain_scores_codex":[0.9783562,0.004993214,0.00160919,0.001739927,0.01008677,0.003214795],"domain_scores_gemma":[0.8780297,0.02742727,0.007637414,0.00534831,0.03948359,0.04207374],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002259568,0.00006184898,0.00116199,0.00005533078,0.000008402197,0.0007209561,0.00047131,0.00001635422,0.0001629746,0.002874575,0.9771668,0.01727685],"study_design_scores_gemma":[0.00005654106,0.00006519999,0.001546529,0.0001981312,0.00001075541,0.001370105,0.0006934558,0.00007202336,0.0001312693,0.003526561,0.9922793,0.00005017301],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0005076057,0.001888512,0.000118393,0.9713539,0.01626927,0.00002472938,0.00001486412,0.00004675992,0.009775854],"genre_scores_gemma":[0.00953543,0.003023712,0.0004768665,0.9116517,0.03941707,0.00005274232,0.00002720128,0.00004608135,0.03576919],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9964964,"threshold_uncertainty_score":0.07854962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08560905637488195,"score_gpt":0.4527685289132899,"score_spread":0.367159472538408,"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."}}