{"id":"W3046809375","doi":"10.1097/phm.0000000000001550","title":"Physical Medicine and Rehabilitation Residency Quality Improvement and Research Curriculum","year":2020,"lang":"en","type":"article","venue":"American Journal of Physical Medicine & Rehabilitation","topic":"Innovations in Medical Education","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Traffic Injury Research Foundation","funders":"","keywords":"Mentorship; Curriculum; Medical education; Medicine; Scope (computer science); Presentation (obstetrics); CLARITY; Quality (philosophy); Resource (disambiguation); Quality management; Psychology; Engineering; Computer science; Operations management; Surgery","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":[0.03406437,0.0004832533,0.0003709716,0.001403555,0.001254121,0.001807052,0.001616405,0.0005077329,0.003424409],"category_scores_gemma":[0.02956333,0.0004279424,0.0006282742,0.001084845,0.0007961402,0.0009405625,0.002854754,0.0009937127,0.000972254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005098236,"about_ca_system_score_gemma":0.03369902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00183401,"about_ca_topic_score_gemma":0.00464293,"domain_scores_codex":[0.9848315,0.007557984,0.001991425,0.0007702735,0.003927653,0.0009212231],"domain_scores_gemma":[0.9642242,0.005732825,0.008533331,0.002995442,0.01468754,0.003826642],"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":[0.0004807879,0.01180812,0.08604228,0.00397041,0.0001379869,0.0001249877,0.004060799,0.006469742,0.01647583,0.003591666,0.01399269,0.8528447],"study_design_scores_gemma":[0.001567564,0.03529334,0.7412625,0.004628066,0.000369701,0.0007862809,0.005704264,0.01405087,0.05728406,0.003491948,0.1353127,0.0002486739],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8135918,0.001713782,0.1120558,0.005492244,0.0004830857,0.04046245,0.00115914,0.001423497,0.02361806],"genre_scores_gemma":[0.5793115,0.00117453,0.3954211,0.00127918,0.0001272904,0.01528732,0.001124902,0.00009516816,0.006178945],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.03406437,"threshold_uncertainty_score":0.1801518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02981460921363739,"score_gpt":0.4418630477210858,"score_spread":0.4120484385074484,"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."}}