{"id":"W2606722723","doi":"10.1111/medu.13322","title":"Inclusive Health Conference: intervention to address medical education deficits","year":2017,"lang":"en","type":"article","venue":"Medical Education","topic":"Adolescent and Pediatric Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Citation; Intervention (counseling); Library science; Political science; Medical education; Psychology; Medicine; Computer science; Nursing","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":[0.004754954,0.0008065458,0.0006754246,0.002254124,0.006936625,0.00289566,0.003485049,0.004127419,0.04466486],"category_scores_gemma":[0.01630907,0.0004471362,0.0009093466,0.001056314,0.0008765236,0.003421255,0.01322029,0.005999272,0.002041757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00367356,"about_ca_system_score_gemma":0.02254924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004346953,"about_ca_topic_score_gemma":0.01579123,"domain_scores_codex":[0.9960069,0.001400759,0.0002715283,0.0003728724,0.0006235213,0.001324522],"domain_scores_gemma":[0.9702936,0.003130045,0.001196317,0.000740284,0.001667184,0.02297254],"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":[0.004856463,0.1517972,0.05004397,0.002013198,0.0003528477,0.002474368,0.01056966,0.001886337,0.002203966,0.01028814,0.1606832,0.6028306],"study_design_scores_gemma":[0.01894458,0.01583503,0.5097411,0.004538654,0.001480329,0.002068761,0.08686803,0.009882286,0.008558501,0.02317648,0.318365,0.0005412084],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7267081,0.002661387,0.007891795,0.09616596,0.009198477,0.009378765,0.001347223,0.001934107,0.1447142],"genre_scores_gemma":[0.917051,0.001527619,0.02006442,0.0201224,0.002454436,0.005743132,0.0008889959,0.0001489165,0.031999],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04466486,"threshold_uncertainty_score":0.1494188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07313548839041217,"score_gpt":0.5480266246033624,"score_spread":0.4748911362129502,"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."}}