{"id":"W4413163591","doi":"10.5334/pme.1949","title":"Many Minds, One Model: Exploring Decision Making of an Undergraduate Medicine Competency Committee Using the Construct of a Shared Mental Model","year":2025,"lang":"en","type":"article","venue":"Perspectives on Medical Education","topic":"Innovations in Medical Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; The Wilson Centre; University of Toronto","funders":"","keywords":"Construct (python library); Context (archaeology); Thematic analysis; Conformity; Nonprobability sampling; Psychology; Computer science; Qualitative research; Medical education; Social psychology; Medicine; Population","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":[],"consensus_categories":[],"category_scores_codex":[0.0242837,0.0008844142,0.0003910191,0.002362761,0.007553212,0.01230953,0.003023097,0.002553601,0.002252216],"category_scores_gemma":[0.03502955,0.0006338186,0.001453102,0.001261776,0.01905183,0.01061332,0.00919495,0.004443626,0.0003335525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0107649,"about_ca_system_score_gemma":0.01323085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009426506,"about_ca_topic_score_gemma":0.009509717,"domain_scores_codex":[0.9679301,0.02733259,0.0003909694,0.001056825,0.001995982,0.00129355],"domain_scores_gemma":[0.9770623,0.01587238,0.002034925,0.001240467,0.001473827,0.002315937],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00008543257,0.0001955799,0.01164296,0.0002625512,0.00005055909,0.0005678494,0.8837405,0.00265577,0.0008520561,0.07546956,0.002082925,0.0223942],"study_design_scores_gemma":[0.0000394499,0.0002447916,0.005076298,0.0006313836,0.00006032523,0.0004231419,0.8771439,0.01432822,0.0008042904,0.07806902,0.02306974,0.000109386],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8104535,0.001080749,0.1148016,0.01961706,0.0002243691,0.001004478,0.0001162255,0.0001133777,0.05258866],"genre_scores_gemma":[0.9714176,0.0002734778,0.02627293,0.0004939625,0.0000172015,0.0002623442,0.00005211965,0.00002602909,0.001184318],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0242837,"threshold_uncertainty_score":0.128426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05791509093635569,"score_gpt":0.3998408655326182,"score_spread":0.3419257745962625,"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."}}