{"id":"W3127336646","doi":"10.1111/ger.12536","title":"Harnessing group peer review for graduate training: What can peer review teach us?","year":2021,"lang":"en","type":"article","venue":"Gerodontology","topic":"Innovations in Medical Education","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Medicine; Medical education; Peer review; Training (meteorology)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.003505929,0.0002136326,0.0008690559,0.00008850974,0.0001517502,0.00003994795,0.0001527683,0.0001735647,0.0006122174],"category_scores_gemma":[0.03467583,0.0001904422,0.0001716123,0.0005745465,0.0001428079,0.0001733815,0.0000383958,0.0005119074,0.00003566805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001815247,"about_ca_system_score_gemma":0.0007224562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002181392,"about_ca_topic_score_gemma":0.00007678451,"domain_scores_codex":[0.9971873,0.0002182943,0.00074471,0.000510924,0.0008640495,0.0004746767],"domain_scores_gemma":[0.9949438,0.000229537,0.000239246,0.0006395798,0.003832031,0.0001158151],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001000173,0.0001147237,0.0003364868,0.008360701,0.00006168602,0.00003593772,0.0008145886,4.267091e-8,0.0001068107,0.001265301,0.6671778,0.3217159],"study_design_scores_gemma":[0.0007049564,0.00008798365,0.004855591,0.01686312,0.0005112239,0.0008643254,0.0008762316,0.00002227993,0.00004851008,0.0003354633,0.9746264,0.000203892],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01241518,0.1609382,0.001744885,0.8181828,0.002972071,0.001243721,0.000008974297,0.00009629636,0.002397844],"genre_scores_gemma":[0.03373627,0.2039663,0.07279953,0.5833251,0.003311413,0.001938645,0.01064784,0.0002145705,0.09006031],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.321512,"threshold_uncertainty_score":0.9734555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1705299836443805,"score_gpt":0.4199171219588909,"score_spread":0.2493871383145104,"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."}}