{"id":"W2945070910","doi":"10.1097/acm.0000000000002694","title":"Training the First Generation of Health Care Performance Intelligence Professionals in Europe and Canada","year":2019,"lang":"en","type":"letter","venue":"Academic Medicine","topic":"Healthcare Systems and Reforms","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Health care; Health informatics; Medical education; Quality (philosophy); Psychology; Public relations; Business; Knowledge management; Nursing; Medicine; Political science; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01491053,0.0007514549,0.001398915,0.002230787,0.01180924,0.01278498,0.005424087,0.0228814,0.01377884],"category_scores_gemma":[0.07124804,0.0009060411,0.0008981704,0.001945882,0.006662188,0.005155129,0.005365512,0.01916797,0.003196279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05032015,"about_ca_system_score_gemma":0.1929907,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6768818,"about_ca_topic_score_gemma":0.791203,"domain_scores_codex":[0.9849732,0.001813448,0.0008733508,0.001858525,0.006401956,0.004079453],"domain_scores_gemma":[0.8869413,0.01599797,0.002732293,0.001773245,0.04879428,0.04376088],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003333758,0.00002634816,0.0008600035,0.00009079013,0.00001385108,0.0001769496,0.0004497865,0.00003514608,0.00004599532,0.0008138215,0.9816325,0.01582156],"study_design_scores_gemma":[0.00004421941,0.00002465767,0.00446759,0.0007115441,0.00002354748,0.0002018708,0.001937714,0.0002049728,0.0001770976,0.00103775,0.9910913,0.00007768998],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.001297126,0.007068307,0.0002206748,0.9060667,0.08098267,0.00002664092,0.000200969,0.00006641972,0.004070492],"genre_scores_gemma":[0.04036188,0.01768629,0.001433204,0.8254853,0.06606162,0.0001268281,0.0006388873,0.0002782497,0.04792759],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.6768818,"threshold_uncertainty_score":0.6500421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1372963684584388,"score_gpt":0.3050314331667029,"score_spread":0.1677350647082641,"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."}}