{"id":"W7113247","doi":"","title":"SOCIOECONOMIC POSITION, GENDER AND HYPERTENSION IN A RURAL CANADIAN POPULATION","year":2014,"lang":"en","type":"article","venue":"Wisconsin medical journal","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Socioeconomic status; Position (finance); Population; Rural population; Geography; Demography; Socioeconomics; Medicine; Environmental health; Business; Economics; Sociology","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":[0.0004503154,0.0005150528,0.0005048094,0.001760667,0.007369676,0.002039361,0.001212216,0.001001242,0.003972287],"category_scores_gemma":[0.001441316,0.0005046247,0.0008050277,0.004347852,0.001067435,0.0008115646,0.0009918484,0.001391503,0.0003559126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01168051,"about_ca_system_score_gemma":0.01677889,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9841954,"about_ca_topic_score_gemma":0.9903631,"domain_scores_codex":[0.9993889,0.00004698545,0.00003046266,0.00008010717,0.0001082938,0.0003451337],"domain_scores_gemma":[0.9991218,0.0000587778,0.0001378608,0.0000251757,0.0002417043,0.000414792],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001088599,0.0002313435,0.9938997,0.00001517161,0.00005401311,0.0002810199,0.002196391,0.00003960765,0.00015822,0.0001257351,0.0008185218,0.002071379],"study_design_scores_gemma":[0.00001580002,0.00006757586,0.987289,0.0000262703,0.00004898633,0.0001819582,0.01133444,0.0001665417,0.00002592085,0.00007616512,0.0007421191,0.00002536994],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975411,0.0002106432,0.00002654583,0.0003057982,0.00001316223,0.00001441591,0.0005306951,0.000002843247,0.001354846],"genre_scores_gemma":[0.9981767,0.0002973393,0.00006111235,0.0001912817,0.00001540685,0.0000117619,0.0003356739,0.000003547469,0.000907212],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01580465,"threshold_uncertainty_score":0.08474845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01849086479642178,"score_gpt":0.301156053036193,"score_spread":0.2826651882397713,"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."}}