{"id":"W2332671137","doi":"10.1097/ede.0000000000000085","title":"Geographic Disparities in US Mortality","year":2014,"lang":"en","type":"letter","venue":"Epidemiology","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto","funders":"","keywords":"Socioeconomic status; Geography; Geocoding; Environmental health; Health equity; Public health; Demography; Geographic information system; Location; Population; Medicine; Gerontology; Cartography","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":[0.007728507,0.001588633,0.001380711,0.002088359,0.00164445,0.004082219,0.003156028,0.005713192,0.0177223],"category_scores_gemma":[0.04241049,0.0008819608,0.001132746,0.002148599,0.001832746,0.003195167,0.002046712,0.01329444,0.004676013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001568983,"about_ca_system_score_gemma":0.004299663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006164313,"about_ca_topic_score_gemma":0.008752497,"domain_scores_codex":[0.9968219,0.0009049428,0.0004339831,0.0005828125,0.001046291,0.0002100477],"domain_scores_gemma":[0.9782686,0.01226434,0.001627001,0.0006878413,0.005842048,0.00131023],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0000206335,0.00001124487,0.001002764,0.000168435,0.00002717509,0.00004746572,0.0000495846,0.0000265511,0.00001566246,0.0003608273,0.9871277,0.01114217],"study_design_scores_gemma":[0.0001511694,0.0000691972,0.01151918,0.002650842,0.0002462396,0.000454235,0.0005141479,0.0008178894,0.0002776994,0.00363945,0.9795874,0.00007252421],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0009894746,0.01108342,0.0004440236,0.6217576,0.3612075,0.00003752577,0.002045054,0.0001109094,0.002324639],"genre_scores_gemma":[0.01403018,0.01723105,0.0007248443,0.254079,0.7048428,0.00008881379,0.001212648,0.0001561474,0.007634425],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.0177223,"threshold_uncertainty_score":0.05928701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1330942207562963,"score_gpt":0.4199403527164876,"score_spread":0.2868461319601913,"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."}}