{"id":"W2131663899","doi":"10.1016/j.hcmf.2014.06.005","title":"The Starfield Model: Measuring Comprehensive Primary Care for System Benefit","year":2014,"lang":"en","type":"article","venue":"Healthcare Management Forum","topic":"Primary Care and Health Outcomes","field":"Health Professions","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Medical Association; GLS Industries (Canada)","funders":"","keywords":"Scope (computer science); Primary care; Equity (law); Process management; Payment; Health care; Quality (philosophy); Medical home; Work (physics); Nursing; Business; Knowledge management; Medicine; Computer science; Family medicine","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":[0.02077422,0.000861128,0.0007038376,0.007013758,0.001210114,0.002518784,0.001564515,0.00139921,0.006085854],"category_scores_gemma":[0.05231377,0.0003260551,0.00190625,0.00612352,0.002154089,0.005504837,0.003088357,0.001545856,0.0009796381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006572974,"about_ca_system_score_gemma":0.005769224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01019911,"about_ca_topic_score_gemma":0.01031459,"domain_scores_codex":[0.959775,0.02386935,0.001607408,0.001438835,0.01237342,0.0009360465],"domain_scores_gemma":[0.9708039,0.01751971,0.004025351,0.001724096,0.004735775,0.001191126],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005938382,0.0009079068,0.4185415,0.001193506,0.0008088671,0.0001451483,0.004521396,0.0175311,0.0009589723,0.1841513,0.05484867,0.3157977],"study_design_scores_gemma":[0.0003141866,0.003924829,0.5409131,0.0009865998,0.0005054171,0.001555661,0.006641052,0.08680334,0.002050344,0.2400195,0.1159114,0.00037439],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2817717,0.003888431,0.4580978,0.01588687,0.0009139255,0.006011316,0.01333779,0.00199052,0.2181018],"genre_scores_gemma":[0.8224707,0.000845047,0.1658659,0.001687381,0.0001841211,0.002462543,0.002876325,0.0001498319,0.003458227],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02077422,"threshold_uncertainty_score":0.1098658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06027129907814562,"score_gpt":0.3599781053081078,"score_spread":0.2997068062299622,"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."}}