{"id":"W2112075538","doi":"10.1503/cmaj.100834","title":"The physician as coworkers see him","year":2011,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Dental Education, Practice, Research","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Computer science; Data science; World Wide Web; Medicine; Information retrieval","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":[0.001774153,0.0006840309,0.0004612557,0.0008823537,0.0104584,0.007889987,0.0008751795,0.003945049,0.1284833],"category_scores_gemma":[0.009414902,0.0005682465,0.0004059854,0.0006608971,0.003596675,0.004070035,0.004576175,0.008684405,0.06793956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003318577,"about_ca_system_score_gemma":0.01290911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02152882,"about_ca_topic_score_gemma":0.06725802,"domain_scores_codex":[0.9957882,0.0009959529,0.000125865,0.0005192483,0.00142538,0.001145421],"domain_scores_gemma":[0.9860207,0.0004912714,0.0003449097,0.0004358837,0.003174833,0.009532437],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0000225401,0.0001719663,0.003285764,0.00005902829,0.000007604067,0.001134575,0.006038372,0.0000258288,0.0005466917,0.01070857,0.9115129,0.06648611],"study_design_scores_gemma":[0.000009376041,0.00004150062,0.001016656,0.0001501771,0.000004602595,0.001467813,0.00843439,0.00001568475,0.00008887226,0.001796414,0.9869581,0.00001640556],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01031186,0.01019125,0.002736618,0.3009524,0.04184867,0.0001384258,0.0001774892,0.0007119357,0.6329314],"genre_scores_gemma":[0.05294115,0.005616999,0.002199905,0.1217261,0.005847323,0.00005226116,0.0001258317,0.0001858994,0.8113047],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1284833,"threshold_uncertainty_score":0.4298193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05060218686030419,"score_gpt":0.4294323818494139,"score_spread":0.3788301949891097,"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."}}