{"id":"W2178520753","doi":"10.3934/publichealth.2015.4.730","title":"Code Red: Explaining Average Age of Death in the City of Hamilton","year":2015,"lang":"en","type":"article","venue":"AIMS Public Health","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Census; Census tract; Geography; Demography; Poverty; Newspaper; Zip code; Gerontology; Cartography; Medicine; Sociology; Political science; Population; Media studies; Law","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":[0.0004492077,0.0002643656,0.000294981,0.002039756,0.001012564,0.001213695,0.0006427768,0.0002767839,0.004171225],"category_scores_gemma":[0.004479273,0.0001543172,0.0005246066,0.003200298,0.0003683183,0.0003545001,0.0008621473,0.0003831929,0.0004822687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008565653,"about_ca_system_score_gemma":0.009570015,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9497519,"about_ca_topic_score_gemma":0.9668182,"domain_scores_codex":[0.9994667,0.00006363595,0.00002944067,0.00009376484,0.0001958296,0.0001506358],"domain_scores_gemma":[0.9972014,0.0004914521,0.0004979239,0.0001593532,0.001326042,0.0003236955],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003991974,0.0000156564,0.9813914,0.00004466171,0.00005422145,0.0001205038,0.000585499,0.0004502735,0.00007129886,0.0004809391,0.007925569,0.008820043],"study_design_scores_gemma":[0.000006715732,0.00001149821,0.9914658,0.00004140263,0.00004505744,0.00006865573,0.00163556,0.002256761,0.00006482587,0.000278539,0.004111963,0.00001310038],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.962892,0.0007454249,0.001278633,0.001728704,0.0001074353,0.0001108284,0.02222465,0.00008525397,0.01082704],"genre_scores_gemma":[0.9941749,0.0003162224,0.0004929964,0.00007215805,0.00002143146,0.00002428598,0.002911631,0.000009622339,0.001976802],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05024809,"threshold_uncertainty_score":0.101088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2322465816523915,"score_gpt":0.4135682272631028,"score_spread":0.1813216456107113,"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."}}