{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.05391005,0.001474037,0.001291743,0.008249518,0.002850895,0.006553272,0.003458522,0.005013464,0.003640898],"category_scores_gemma":[0.06517737,0.001059538,0.001046183,0.006158692,0.008691292,0.008890175,0.01519334,0.007649974,0.002419451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01214964,"about_ca_system_score_gemma":0.06310078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01047881,"about_ca_topic_score_gemma":0.02442882,"domain_scores_codex":[0.9742038,0.0136994,0.003566025,0.0007649927,0.006076518,0.001689331],"domain_scores_gemma":[0.912836,0.04767921,0.004470178,0.004520844,0.02109876,0.009395078],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005502516,0.0003450811,0.002512919,0.009455782,0.0000469157,0.0003114263,0.004806358,0.0008583087,0.0005850313,0.05575032,0.1527676,0.7725052],"study_design_scores_gemma":[0.00003528588,0.00007643229,0.004918968,0.04367715,0.00003289149,0.001626811,0.004041354,0.000666964,0.0009169518,0.04979051,0.8941349,0.00008187017],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"methods","genre_scores_codex":[0.00763227,0.4530349,0.0724086,0.3646666,0.01813612,0.001821468,0.0007994223,0.001013579,0.08048693],"genre_scores_gemma":[0.06976748,0.5755274,0.2843421,0.04651714,0.003768987,0.002800011,0.001859363,0.0003506369,0.01506686],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.94609,"threshold_uncertainty_score":0.285107,"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."}}