{"id":"W4300996808","doi":"","title":"Income inequality and mortality are not associated in canada","year":2000,"lang":"en","type":"article","venue":"PubMed","topic":"Global Health Care Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Inequality; Data science; Computer science; Medicine; Mathematics","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":[0.0006651781,0.0003402455,0.0006188201,0.002464117,0.006583482,0.003137598,0.001745077,0.0009627251,0.02324403],"category_scores_gemma":[0.007603822,0.000413775,0.001008621,0.005519965,0.001227532,0.001122695,0.001744425,0.001929642,0.0007871377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03797079,"about_ca_system_score_gemma":0.08948536,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9967983,"about_ca_topic_score_gemma":0.9986705,"domain_scores_codex":[0.9982094,0.0001024281,0.00007941404,0.0001574344,0.0004186381,0.001032805],"domain_scores_gemma":[0.9907261,0.0006137876,0.00146212,0.0002233329,0.003457812,0.003516719],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003813033,0.00008970442,0.9733676,0.00005859795,0.0001448037,0.0002426245,0.0008952905,0.0002973186,0.00009295753,0.001605559,0.01070292,0.01212131],"study_design_scores_gemma":[0.00003245267,0.00002751623,0.9900742,0.0001126039,0.00008517701,0.00008323348,0.002776695,0.0003643316,0.00008063589,0.0004808108,0.005853433,0.00002889675],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9311385,0.004159315,0.0001868647,0.01299419,0.0002552647,0.00005229363,0.01242705,0.00004776698,0.03873863],"genre_scores_gemma":[0.9865225,0.001325191,0.00009053735,0.0005690726,0.00004281509,0.000009603386,0.001647128,0.00001963582,0.009773495],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03797079,"threshold_uncertainty_score":0.2754987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08678505014445058,"score_gpt":0.3841112809845192,"score_spread":0.2973262308400686,"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."}}