{"id":"W4388720731","doi":"10.1370/afm.22.s1.5085","title":"Primary care access in Ontario, Canada: Geographical patterns of primary care attachment","year":2023,"lang":"en","type":"article","venue":"","topic":"Primary Care and Health Outcomes","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Health care; Government (linguistics); Context (archaeology); Service provider; Population health; Population; Community health; Business; Medicine; Geography; Nursing; Service (business); Environmental health; Public health; Political science; Marketing","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":[0.001094213,0.0003740585,0.0005441191,0.003006057,0.003803551,0.002080705,0.001896478,0.0004786558,0.007004263],"category_scores_gemma":[0.005590254,0.0005938205,0.0009302598,0.01639908,0.001081233,0.0007987961,0.002180285,0.0006900415,0.0008308467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04727133,"about_ca_system_score_gemma":0.07117038,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9982554,"about_ca_topic_score_gemma":0.9990749,"domain_scores_codex":[0.9977406,0.0001796226,0.0002308613,0.0003799554,0.0008453396,0.0006235797],"domain_scores_gemma":[0.9915991,0.0005822351,0.001747014,0.0003375794,0.003947126,0.001787039],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001069628,0.00003741598,0.921689,0.0005710518,0.0001535812,0.0002011384,0.007165946,0.0003561649,0.0002731788,0.001351513,0.05007729,0.01801662],"study_design_scores_gemma":[0.00001067723,0.000009374822,0.9894854,0.000146885,0.00002026779,0.00003760598,0.002495106,0.0001418788,0.00002689211,0.00007499132,0.007536062,0.00001481398],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6010959,0.004268745,0.001109684,0.007593723,0.0001168319,0.0007002711,0.3530411,0.0002054913,0.03186832],"genre_scores_gemma":[0.9368494,0.002695265,0.001709567,0.0009846784,0.0000353759,0.0005286082,0.04851191,0.0000651695,0.008620163],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04727133,"threshold_uncertainty_score":0.3429791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05985054543084395,"score_gpt":0.3896091527166778,"score_spread":0.3297586072858339,"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."}}