{"id":"W2170871524","doi":"10.1111/j.1365-2923.2011.03939.x","title":"Longitudinal integrated clerkships: transforming medical education worldwide?","year":2011,"lang":"en","type":"letter","venue":"Medical Education","topic":"Innovations in Medical Education","field":"Medicine","cited_by":59,"is_retracted":false,"has_abstract":false,"ca_institutions":"NOSM University","funders":"","keywords":"Citation; Library science; Sociology; Computer science","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":[0.02227364,0.000424047,0.0007780674,0.0006184852,0.005559086,0.006626831,0.003146345,0.05614126,0.01502321],"category_scores_gemma":[0.06254715,0.0008592489,0.0008207501,0.000899755,0.004245915,0.01006966,0.006652532,0.03613447,0.004033242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006920171,"about_ca_system_score_gemma":0.02502794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01314298,"about_ca_topic_score_gemma":0.05199904,"domain_scores_codex":[0.9902797,0.003595829,0.0009568781,0.0008977836,0.002012721,0.002256939],"domain_scores_gemma":[0.9228142,0.02648148,0.005069201,0.002428352,0.007032722,0.03617415],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001377717,0.0002468708,0.009508062,0.0000822955,0.00002391302,0.001354698,0.0007242038,0.00007919664,0.0002939951,0.01047722,0.9478246,0.02924722],"study_design_scores_gemma":[0.0006407399,0.0005084754,0.03764226,0.001080974,0.00008608808,0.00338332,0.008997988,0.001553584,0.0004791964,0.03176459,0.9136454,0.0002173699],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001310059,0.0003896095,0.00009557804,0.9936139,0.003451943,0.000006716394,0.0000261964,0.00001367471,0.001092434],"genre_scores_gemma":[0.02197281,0.0009518692,0.0005259669,0.9529188,0.01632859,0.00007586397,0.00005983937,0.00002021634,0.007146127],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.05614126,"threshold_uncertainty_score":0.1177957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0253851769084988,"score_gpt":0.3432819608699145,"score_spread":0.3178967839614157,"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."}}