{"id":"W4283661003","doi":"10.36834/cmej.73422","title":"The ways social networks shape reflection on early significant clinical experiences in medical school","year":2022,"lang":"en","type":"article","venue":"Canadian Medical Education Journal","topic":"Innovations in Medical Education","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Reflection (computer programming); Curriculum; Psychology; Diversity (politics); Pedagogy; Situated; Medical education; Qualitative research; Lifelong learning; Sociology; Medicine; Social science; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.009018805,0.0003854801,0.0003297674,0.001926771,0.007740569,0.008078638,0.001186426,0.001618929,0.003284781],"category_scores_gemma":[0.02820254,0.0004346819,0.0003435323,0.0008228637,0.01268498,0.005896276,0.008901824,0.002009295,0.0002968422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004623148,"about_ca_system_score_gemma":0.00452667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005940455,"about_ca_topic_score_gemma":0.01205354,"domain_scores_codex":[0.9860001,0.01068386,0.0002033099,0.0006194152,0.001252517,0.001240732],"domain_scores_gemma":[0.9806881,0.01303789,0.002394114,0.0005964794,0.0009285414,0.002354758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006044519,0.00006156723,0.02198481,0.00006015685,0.00001832267,0.0005223047,0.955706,0.0001238794,0.0007678016,0.004602666,0.0006261354,0.01546588],"study_design_scores_gemma":[0.00001052845,0.00009635818,0.03214372,0.000173804,0.00001916862,0.0005061352,0.9449194,0.0003358065,0.0005004232,0.005090862,0.0161606,0.00004325182],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9735927,0.0004513119,0.002702163,0.00427363,0.00004974758,0.00004530796,0.00002341462,0.00002753379,0.01883425],"genre_scores_gemma":[0.9984123,0.0001512466,0.0004267326,0.0001512501,0.000007540798,0.00001749181,0.00000836228,0.0000124961,0.0008125316],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009018805,"threshold_uncertainty_score":0.04769659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04638082913392623,"score_gpt":0.3981862027823776,"score_spread":0.3518053736484514,"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."}}