{"id":"W2143717841","doi":"10.3109/0142159x.2013.818110","title":"Twelve tips for designing and running longitudinal integrated clerkships","year":2013,"lang":"en","type":"article","venue":"Medical Teacher","topic":"Innovations in Medical Education","field":"Medicine","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of Calgary; McGill University; College of Family Physicians of Canada; NOSM University; Canadian Medical Association","funders":"","keywords":"Extant taxon; Variety (cybernetics); Medical education; Face (sociological concept); Reflection (computer programming); Longitudinal study; Dynamics (music); Psychology; Computer science; Sociology; Pedagogy; Medicine; Social science; Artificial intelligence","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":[0.1014075,0.001445593,0.0009466941,0.002863358,0.00621808,0.01132455,0.005460458,0.005092273,0.01026659],"category_scores_gemma":[0.2009778,0.001700069,0.001506867,0.001968157,0.00445912,0.01470951,0.01094657,0.007765282,0.005189462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006149884,"about_ca_system_score_gemma":0.02011519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001908359,"about_ca_topic_score_gemma":0.007482188,"domain_scores_codex":[0.9035876,0.06680934,0.008903578,0.002850127,0.01225811,0.005591316],"domain_scores_gemma":[0.784874,0.09024732,0.01560731,0.02717336,0.03974766,0.0423504],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005189262,0.004178748,0.01620653,0.002652526,0.00007709657,0.001240877,0.03882863,0.0048896,0.005166329,0.01792069,0.07584242,0.8324776],"study_design_scores_gemma":[0.001115653,0.01068555,0.05717522,0.01209432,0.0003259281,0.004247119,0.1505952,0.01265377,0.01173317,0.08178911,0.6561936,0.001391259],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1436213,0.003300705,0.6054772,0.1426288,0.00360064,0.03186345,0.0006924014,0.01403143,0.05478416],"genre_scores_gemma":[0.07479912,0.001180411,0.9067357,0.002771442,0.0002889798,0.009102687,0.0002644259,0.0004312873,0.004425997],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1014075,"threshold_uncertainty_score":0.5363004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04581468863784255,"score_gpt":0.3416275450553786,"score_spread":0.2958128564175361,"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."}}