{"id":"W4388735979","doi":"10.1370/afm.22.s1.5076","title":"Primary Care Data Reports in Ontario, Canada: Comparing primary care attachment rates from 2020 to 2022","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; Context (archaeology); Medicine; Population health; Population; Family medicine; Nursing; Environmental health; Geography; Political science","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":[0.003528726,0.0008502117,0.0008361301,0.00658119,0.002943347,0.00275506,0.002667863,0.0007042828,0.006926813],"category_scores_gemma":[0.02194959,0.0008057829,0.001382764,0.02276785,0.0008718399,0.0008833976,0.001949841,0.001244196,0.002047796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06570104,"about_ca_system_score_gemma":0.1093217,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9981017,"about_ca_topic_score_gemma":0.9980711,"domain_scores_codex":[0.9932913,0.0004007768,0.0008563362,0.0007906149,0.003585279,0.001075661],"domain_scores_gemma":[0.9442529,0.002879072,0.007154105,0.001744027,0.0402463,0.003723569],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003465061,0.00006759357,0.5605956,0.001457492,0.000492956,0.0001499096,0.001764887,0.001085552,0.0002486421,0.001163146,0.4176417,0.01498617],"study_design_scores_gemma":[0.00006377274,0.00001927551,0.9534263,0.0003341502,0.00007550001,0.00004560549,0.001334533,0.0006106962,0.000127666,0.00008280927,0.04383788,0.00004175646],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.03481971,0.000768593,0.000217548,0.001280554,0.00006705344,0.0001828245,0.9587942,0.0001434281,0.003726188],"genre_scores_gemma":[0.183619,0.001708508,0.001812596,0.0008489214,0.00006745313,0.0006237339,0.8042108,0.0000944807,0.007014468],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06570104,"threshold_uncertainty_score":0.4766966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09937377594070751,"score_gpt":0.4061042324616971,"score_spread":0.3067304565209896,"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."}}