{"id":"W4414522378","doi":"10.1002/lrh2.70032","title":"Enriched core competencies for health services and policy research—An update","year":2025,"lang":"en","type":"article","venue":"Learning Health Systems","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of Calgary; Dalhousie University; Université Laval; Canadian Association for Health Services and Policy Research; Institut Universitaire en Santé Mentale de Québec; Autism Canada; Université de Montréal; Ministère de la Santé et des Services Sociaux (Québec); Memorial University of Newfoundland; Institute for Clinical Evaluative Sciences; St. Michael's Hospital; University of Windsor; Institute of Health Services and Policy Research; Public Health Ontario; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Flexibility (engineering); Core competency; Workforce development; Workforce; Core (optical fiber); Health services","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.02377139,0.0002354468,0.0007594646,0.001009978,0.007294673,0.00009970168,0.0004664446,0.0001833735,0.00002327523],"category_scores_gemma":[0.00150251,0.0002198112,0.00003662858,0.001620795,0.0001838129,0.0002996488,0.0002342715,0.001272802,0.0001099928],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001320353,"about_ca_system_score_gemma":0.008928121,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04263095,"about_ca_topic_score_gemma":0.004538362,"domain_scores_codex":[0.9872106,0.007084753,0.001868656,0.0007213707,0.0007104813,0.002404087],"domain_scores_gemma":[0.992222,0.004486803,0.0009738266,0.0005382466,0.000766959,0.001012164],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002527738,0.000097418,0.1493651,0.07204896,0.00005786892,0.000001774443,0.2161715,0.0003648206,0.0002555103,0.4580781,0.08507521,0.01823103],"study_design_scores_gemma":[0.001375538,0.0006014099,0.03553301,0.001516264,0.000002501735,0.000002658216,0.06553868,0.006759224,5.201702e-7,0.001012173,0.8874968,0.0001611913],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.4154118,0.004754169,0.01035634,0.5399072,0.004067955,0.01998748,0.0003794165,0.001294232,0.003841397],"genre_scores_gemma":[0.8826622,0.000792107,0.00211314,0.1054816,0.001152903,0.001581158,0.0001061513,0.00005820864,0.006052509],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8024216,"threshold_uncertainty_score":0.9966903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6483217528367009,"score_gpt":0.721693129330985,"score_spread":0.07337137649428405,"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."}}