{"id":"W4319334024","doi":"10.2196/43656","title":"Personalized Precision Medicine for Health Care Professionals: Development of a Competency Framework","year":2023,"lang":"en","type":"article","venue":"JMIR Medical Education","topic":"Innovations in Medical Education","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Multidisciplinary approach; Health care; Medical education; Context (archaeology); Process (computing); Precision medicine; Knowledge management; Medicine; Psychology; Nursing; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.01242191,0.0006097258,0.0003723346,0.003203567,0.001787989,0.003363878,0.00126906,0.001622369,0.001308397],"category_scores_gemma":[0.0156272,0.0002451716,0.0006798626,0.001439202,0.004703756,0.003267682,0.004170282,0.002083887,0.0003443581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006058059,"about_ca_system_score_gemma":0.03351671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0115003,"about_ca_topic_score_gemma":0.009811146,"domain_scores_codex":[0.9915787,0.004824854,0.0007683,0.0004404999,0.001758993,0.0006285763],"domain_scores_gemma":[0.9880365,0.006158578,0.001168779,0.0005064444,0.002695943,0.0014337],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000819802,0.0005750784,0.02756211,0.001972084,0.00006817137,0.0009518113,0.05777111,0.006745335,0.003664386,0.4673182,0.0108711,0.4224186],"study_design_scores_gemma":[0.0001511487,0.001030536,0.09230334,0.01275215,0.0001364692,0.004424122,0.1244305,0.03153017,0.007012837,0.4134679,0.312455,0.0003057469],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2362242,0.007951347,0.5270332,0.0394477,0.0005284516,0.00653962,0.0007639982,0.0003493954,0.1811621],"genre_scores_gemma":[0.5110043,0.001946676,0.4814838,0.0009123305,0.00006337396,0.001632683,0.0004406474,0.00002146394,0.002494723],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01242191,"threshold_uncertainty_score":0.06569409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03073837865489479,"score_gpt":0.4776225983210581,"score_spread":0.4468842196661633,"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."}}