{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0009191409,0.0003401234,0.0005755145,0.0001462492,0.005112709,0.00003582324,0.0005835709,0.0002477004,0.000007202595],"category_scores_gemma":[0.00002445078,0.0002609247,0.0002106659,0.0001796756,0.00004585664,0.0001273616,0.0005216624,0.0006011413,0.00006808448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002035353,"about_ca_system_score_gemma":0.0003958515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000560366,"about_ca_topic_score_gemma":0.005186643,"domain_scores_codex":[0.9958496,0.0003380447,0.0009943563,0.000573676,0.0005530115,0.001691321],"domain_scores_gemma":[0.9968019,0.0009673254,0.000381623,0.001031815,0.0005163773,0.0003010124],"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":[0.0004111429,0.00002300229,0.006895091,0.04266274,0.0001273923,0.000002941275,0.001988393,0.0003567718,0.000003364527,0.6548235,0.07497101,0.2177346],"study_design_scores_gemma":[0.001543241,0.0002064127,0.004740953,0.0006364075,0.00006548852,6.869683e-7,0.02380838,0.002990568,0.000002467923,0.005515216,0.9601472,0.0003429687],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0118088,0.01812721,0.08152278,0.2961053,0.01527543,0.03207954,0.0005681381,0.003012574,0.5415002],"genre_scores_gemma":[0.8741487,0.002152387,0.006171564,0.101458,0.0009656484,0.0048086,0.0003664743,0.0002066334,0.009721977],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8851762,"threshold_uncertainty_score":0.9999843,"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."}}