{"id":"W2275265893","doi":"10.1002/hpm.2338","title":"Health services utilization of people having and not having a regular doctor in Canada","year":2016,"lang":"en","type":"article","venue":"The International Journal of Health Planning and Management","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Health Economics","funders":"","keywords":"Propensity score matching; Health services; Matching (statistics); Health care; Negative binomial distribution; Medicine; Family medicine; Service (business); Community health; Nursing; Public health; Environmental health; Population; Business; Statistics","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.001333264,0.0002697259,0.0005845354,0.001699166,0.002507194,0.001539902,0.001172121,0.0005133831,0.002388918],"category_scores_gemma":[0.005873953,0.0002915885,0.001034647,0.004689468,0.001241649,0.0005702198,0.001238186,0.001196294,0.00009859288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04212766,"about_ca_system_score_gemma":0.04378685,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9974746,"about_ca_topic_score_gemma":0.9975193,"domain_scores_codex":[0.9977888,0.000201297,0.0001556576,0.0003390427,0.000728234,0.000786992],"domain_scores_gemma":[0.9963223,0.0004452629,0.0009935499,0.0001441655,0.001117984,0.0009767669],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002379445,0.00007784802,0.9881051,0.00005078442,0.0001873295,0.00007163001,0.00120643,0.0004539592,0.0001088731,0.001210452,0.002165091,0.006124476],"study_design_scores_gemma":[0.00002413331,0.00002890201,0.9962664,0.00003444534,0.00005515737,0.00003406727,0.001552709,0.0008207115,0.0000764737,0.0001191228,0.0009650987,0.00002276051],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897422,0.0006666283,0.0001178031,0.000861558,0.00001655063,0.00004314886,0.005950206,0.00001165927,0.002590219],"genre_scores_gemma":[0.9965292,0.0003235211,0.0001722192,0.0001210674,0.000004010168,0.00001080777,0.002116783,0.000003685848,0.0007188079],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04212766,"threshold_uncertainty_score":0.3056589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05631166016007309,"score_gpt":0.3057397317133652,"score_spread":0.2494280715532921,"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."}}