{"id":"W2080478701","doi":"10.2174/1874220301401010090","title":"Socioeconomic Health Disparities in Canadian Regions","year":2014,"lang":"en","type":"article","venue":"Open Medicine Journal","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"Socioeconomic status; Health equity; Inequality; Race and health; Ranking (information retrieval); Environmental health; Geography; Obesity; Social class; Demography; Medicine; Public health; Political science; Sociology; Population","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":[0.0009491271,0.0003027863,0.0003224553,0.003680785,0.003676346,0.001052053,0.0007805129,0.0002516214,0.005182593],"category_scores_gemma":[0.002834677,0.000129108,0.0005718561,0.007793847,0.0006847435,0.0003027975,0.001456483,0.0004258048,0.0001745031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02397326,"about_ca_system_score_gemma":0.04297271,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9931924,"about_ca_topic_score_gemma":0.9948525,"domain_scores_codex":[0.9988239,0.0001001233,0.00004675191,0.0001329361,0.0004625606,0.0004335971],"domain_scores_gemma":[0.9989919,0.00008365584,0.000144266,0.00003789164,0.0005331781,0.000209108],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001751331,0.00006552297,0.8611987,0.0005317934,0.0003122784,0.00028437,0.005260778,0.00119365,0.0003792813,0.01028614,0.0244642,0.09584813],"study_design_scores_gemma":[0.00001223816,0.00001525623,0.9832954,0.0002538893,0.00008926703,0.00008174457,0.002449425,0.0005476256,0.000142364,0.0010233,0.01206686,0.00002268675],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9122356,0.008162554,0.001035033,0.006006909,0.00008623504,0.0001591899,0.02425552,0.00005547919,0.04800348],"genre_scores_gemma":[0.9917465,0.002388001,0.0006022062,0.0002976856,0.00001406913,0.00004181718,0.003448567,0.000006858834,0.001454285],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02397326,"threshold_uncertainty_score":0.173939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05048344896664607,"score_gpt":0.410815186175746,"score_spread":0.3603317372090999,"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."}}