{"id":"W6977692187","doi":"10.6084/m9.figshare.7362905","title":"Additional file 1: of Teaching residents to put patients first: creation and evaluation of a comprehensive curriculum in patient-centered communication","year":2018,"lang":"en","type":"article","venue":"Figshare","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Curriculum; Qualitative research; Data collection","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.007227545,0.0008566488,0.001099434,0.002339029,0.001777122,0.00153045,0.001820822,0.0007855529,0.7867728],"category_scores_gemma":[0.07794825,0.0007059587,0.001156654,0.003135611,0.0004107546,0.002374744,0.001354118,0.001694103,0.08547924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00446599,"about_ca_system_score_gemma":0.009394138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02849221,"about_ca_topic_score_gemma":0.05002674,"domain_scores_codex":[0.9978077,0.0008263839,0.0004396328,0.0001615931,0.0005163405,0.0002483285],"domain_scores_gemma":[0.9121999,0.06306119,0.004120576,0.002482375,0.01529879,0.002837081],"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":[0.0008478655,0.0005171754,0.002524902,0.003059924,0.00002276409,0.00003220531,0.0005669302,0.0003438268,0.000029283,0.000349205,0.9584904,0.03321549],"study_design_scores_gemma":[0.03584558,0.003234734,0.1732419,0.02142082,0.000413362,0.0003797611,0.0104347,0.003565242,0.002022712,0.007013292,0.7419713,0.0004566091],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004127373,0.00006427378,0.0008901227,0.00159019,0.000151874,0.01138756,0.9696366,0.0005948506,0.01155709],"genre_scores_gemma":[0.09764471,0.001048614,0.04109636,0.003927337,0.0004531019,0.3237215,0.4479171,0.001908755,0.08228242],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7867728,"threshold_uncertainty_score":0.3041427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02419889253952239,"score_gpt":0.2563850709556159,"score_spread":0.2321861784160935,"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."}}