{"id":"W2399694306","doi":"","title":"An Evaluation of STI Training and Curriculum in Canadian Medical Programs","year":2014,"lang":"en","type":"article","venue":"2014 National STD Prevention Conference","topic":"Innovations in Medical Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Training (meteorology); Medical education; Curriculum; Medicine; Computer science; Psychology; Pedagogy; Geography","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":[],"consensus_categories":[],"category_scores_codex":[0.01830934,0.0009347617,0.0009432668,0.00389935,0.007016894,0.002497667,0.003394986,0.001362655,0.004732304],"category_scores_gemma":[0.04720354,0.000692745,0.00146964,0.005689421,0.00135393,0.001328076,0.003076978,0.001589539,0.0003495436],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.104107,"about_ca_system_score_gemma":0.2355439,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9121878,"about_ca_topic_score_gemma":0.9611447,"domain_scores_codex":[0.9766577,0.004773997,0.001069592,0.001089892,0.01269146,0.00371731],"domain_scores_gemma":[0.9532681,0.008151564,0.004000482,0.0009250634,0.02116185,0.01249296],"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":[0.01418477,0.04370696,0.3986678,0.004936692,0.0008966128,0.0003337555,0.01676697,0.004969673,0.002466286,0.002235854,0.02176607,0.4890686],"study_design_scores_gemma":[0.001827769,0.01254175,0.9589087,0.001034039,0.0005155064,0.00005789334,0.006091143,0.001996761,0.001365773,0.0001491791,0.01536962,0.0001418577],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9759223,0.001078264,0.0004833158,0.002166263,0.0002284026,0.004045908,0.002289905,0.0001115676,0.01367412],"genre_scores_gemma":[0.9882527,0.000930301,0.00350214,0.0007197391,0.00007691103,0.00163164,0.0015198,0.00002437462,0.003342342],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.895893,"threshold_uncertainty_score":0.7553525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0712688754867253,"score_gpt":0.4100779488574591,"score_spread":0.3388090733707338,"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."}}