{"id":"W2645877064","doi":"10.1111/tct.12638","title":"Strategies to maximise teaching in your next ambulatory clinic","year":2017,"lang":"en","type":"article","venue":"The Clinical Teacher","topic":"Empathy and Medical Education","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Women's College Hospital; University of Toronto","funders":"","keywords":"Toolbox; Medicine; Family medicine; Medical education; Library science; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.00465434,0.0001322807,0.0003650566,0.00003967736,0.0002298959,0.00008366834,0.0004154758,0.0002132495,0.0005120885],"category_scores_gemma":[0.006351653,0.0000831202,0.0001648549,0.00003581282,0.0002749632,0.0001751213,0.0001273477,0.001478116,0.0005822695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004278255,"about_ca_system_score_gemma":0.0002738665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001492401,"about_ca_topic_score_gemma":0.00006369756,"domain_scores_codex":[0.9982546,0.0002951683,0.0006248957,0.0003064866,0.00023307,0.0002857737],"domain_scores_gemma":[0.9980003,0.0003631935,0.0001698986,0.001111759,0.00002503798,0.0003298169],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001269499,0.004008872,0.387854,0.0001148782,0.0001837366,0.0001322491,0.05843094,0.000005377403,0.0002511147,0.00233176,0.0716773,0.4737403],"study_design_scores_gemma":[0.001411021,0.000331911,0.9339108,0.0002096275,0.00007684463,0.000008451955,0.021025,0.0000700805,0.000007781503,0.00231005,0.04050241,0.0001359739],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9310492,0.0001321985,0.00003159968,0.02593199,0.000806859,0.0003612215,6.147055e-7,0.00005157985,0.04163475],"genre_scores_gemma":[0.9808147,0.00006521081,0.0004384229,0.004109896,0.001350236,0.0000246517,0.000003630514,0.00002087231,0.01317237],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5460569,"threshold_uncertainty_score":0.7603981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2661300047793344,"score_gpt":0.5084518226497999,"score_spread":0.2423218178704655,"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."}}