{"id":"W3007154881","doi":"10.1093/jcag/gwz047.244","title":"A245 IMPROVING KNOWLEDGE TRANSFER OF PREVENTATIVE CARE IN INFLAMMATORY BOWEL DISEASE USING ELECTRONIC LEARNING","year":2020,"lang":"en","type":"article","venue":"Journal of the Canadian Association of Gastroenterology","topic":"Health and Medical Research Impacts","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of Lethbridge","funders":"","keywords":"Medicine; Inflammatory bowel disease; Family medicine; Cohort; Health care; Objective structured clinical examination; Population; Disease; Physical therapy; Nursing; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.003965962,0.0003463337,0.0003717131,0.0007319524,0.0002986667,0.0008038484,0.0006648876,0.0003908233,0.007280387],"category_scores_gemma":[0.01637038,0.0001179948,0.000352986,0.0004798808,0.0001571829,0.0008667867,0.001194215,0.0003937133,0.0004474291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008149694,"about_ca_system_score_gemma":0.001509033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003965229,"about_ca_topic_score_gemma":0.003859541,"domain_scores_codex":[0.9984017,0.0008546857,0.0001125549,0.000129486,0.0002840392,0.0002174888],"domain_scores_gemma":[0.9926992,0.004975663,0.0006303895,0.0002659348,0.0006447532,0.0007840798],"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":[0.002224318,0.02832213,0.0760962,0.0008997032,0.0000876439,0.0001244914,0.001640958,0.001717023,0.002508169,0.0002226983,0.003422859,0.8827338],"study_design_scores_gemma":[0.004705712,0.06837285,0.8486629,0.002079049,0.0008370203,0.0004010751,0.005575095,0.03257309,0.01517321,0.001333897,0.02014208,0.0001441117],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99299,0.0001784369,0.001837912,0.0005100208,0.00003644737,0.0007200222,0.0001662249,0.0001089367,0.003451928],"genre_scores_gemma":[0.9870842,0.0003402244,0.009573371,0.0002057444,0.00004023594,0.0008434129,0.0002401967,0.000004282862,0.001668305],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007280387,"threshold_uncertainty_score":0.02435529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02514182023246027,"score_gpt":0.3194879267166206,"score_spread":0.2943461064841603,"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."}}