{"id":"W4400954986","doi":"10.3233/shti240199","title":"Supporting Clinical Informatics Competency Development Among the Clinical Informatics Team at Providence Health Care","year":2024,"lang":"en","type":"article","venue":"Studies in health technology and informatics","topic":"Interprofessional Education and Collaboration","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Providence Health Care","funders":"","keywords":"Informatics; Health informatics; Health care; Medical education; Knowledge management; Medicine; Health information technology; Intervention (counseling); Nursing; Psychology; Computer science; Engineering; Public health; Political science","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":[0.01623886,0.0005450246,0.0003033497,0.0009844243,0.01010303,0.00335955,0.002864711,0.001867283,0.005088378],"category_scores_gemma":[0.03341419,0.0004380218,0.000425887,0.0004455184,0.002929094,0.002482086,0.01124579,0.003541134,0.0009490059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0067469,"about_ca_system_score_gemma":0.03887181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009135352,"about_ca_topic_score_gemma":0.02429723,"domain_scores_codex":[0.9850507,0.01017323,0.0003845383,0.0008372737,0.001220552,0.002333674],"domain_scores_gemma":[0.9656749,0.01033167,0.002505989,0.001619399,0.004084559,0.01578343],"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":[0.0003215676,0.01017806,0.08341865,0.002192098,0.0000994987,0.008161003,0.30716,0.001343151,0.009367143,0.005527158,0.04078886,0.5314428],"study_design_scores_gemma":[0.0005927932,0.01045977,0.1565028,0.00550861,0.000213674,0.009520511,0.5409877,0.0047614,0.01390708,0.006449092,0.2507271,0.0003692578],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9271156,0.001273956,0.01298036,0.02486344,0.0003691655,0.003357489,0.00008959795,0.0003864956,0.02956391],"genre_scores_gemma":[0.9411602,0.001428366,0.04425852,0.004568514,0.0002164696,0.001751731,0.00011938,0.00006099385,0.006436003],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01623886,"threshold_uncertainty_score":0.0858804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09984986930807727,"score_gpt":0.5662395624991975,"score_spread":0.4663896931911202,"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."}}