{"id":"W4379523992","doi":"10.1136/annrheumdis-2023-eular.1602","title":"POS0393 DEFINING THE KEY ATTRIBUTES OF A CLINICIAN WITH COMPETENCE IN BONE HEALTH MANAGEMENT","year":2023,"lang":"en","type":"article","venue":"","topic":"Innovations in Medical Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Bone health; Competence (human resources); Key (lock); Data science; Knowledge management; Pathology; Osteoporosis; Computer science; Computer security","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":[0.0268576,0.0003004204,0.0004448385,0.0007487761,0.00248113,0.004430649,0.001135245,0.004048914,0.07188996],"category_scores_gemma":[0.03660946,0.0003002368,0.0004086494,0.0009839348,0.00251697,0.002561704,0.004280742,0.002036576,0.02061275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002467822,"about_ca_system_score_gemma":0.01125046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001021804,"about_ca_topic_score_gemma":0.0020824,"domain_scores_codex":[0.9795367,0.01472103,0.002054992,0.0006362363,0.002123856,0.0009272163],"domain_scores_gemma":[0.9652607,0.01636632,0.002096318,0.001940027,0.009507988,0.004828663],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.004475018,0.002573505,0.05819681,0.007533011,0.00005249814,0.001411758,0.02839482,0.002690807,0.02147681,0.1221966,0.2283805,0.5226178],"study_design_scores_gemma":[0.00125275,0.007456135,0.06613958,0.00898074,0.00009834995,0.001595281,0.06034942,0.00624536,0.01343471,0.07109486,0.7630697,0.000283124],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2251756,0.001158603,0.04981661,0.05513517,0.002578513,0.01593443,0.004310105,0.0004673751,0.6454235],"genre_scores_gemma":[0.7595295,0.001413897,0.1539629,0.01805108,0.0003514974,0.0144442,0.002842396,0.0001371781,0.04926735],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07188996,"threshold_uncertainty_score":0.2404959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03576458765197331,"score_gpt":0.364367246182183,"score_spread":0.3286026585302096,"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."}}