{"id":"W4313509092","doi":"10.3390/ijerph20020992","title":"Intraurban Geographic and Socioeconomic Inequalities of Mortality in Four Cities in Colombia","year":2023,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Geography; Socioeconomic status; Inequality; Mortality rate; Poverty; Demography; Latin Americans; Census; Distribution (mathematics); Disadvantaged; Social inequality; Socioeconomics; Population; Economic growth; Sociology; Political science; Mathematics; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0003323152,0.0004144036,0.0003355514,0.001713706,0.0008626928,0.001007702,0.0004056623,0.0002349913,0.001910487],"category_scores_gemma":[0.001413439,0.000161446,0.0003649684,0.001374807,0.0004068078,0.0003418248,0.001312227,0.0003633382,0.0001073737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002750409,"about_ca_system_score_gemma":0.001051256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2627946,"about_ca_topic_score_gemma":0.4196006,"domain_scores_codex":[0.9996402,0.0001018059,0.00002582057,0.00007633991,0.00003491148,0.0001208545],"domain_scores_gemma":[0.9994444,0.00009940184,0.0002080567,0.00003353713,0.00009786916,0.0001167528],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002505932,0.00009617682,0.9839321,0.0001540214,0.00009786987,0.0001698701,0.001930016,0.0003892837,0.0004269235,0.000508166,0.001067747,0.01097716],"study_design_scores_gemma":[0.00001207296,0.00002160599,0.996027,0.00004872809,0.00003708813,0.00004893738,0.00224829,0.0003945178,0.00006878325,0.0001157716,0.0009617383,0.00001551297],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960906,0.0007035291,0.0001521219,0.0001981654,0.000008381456,0.00002728345,0.001086497,0.00001104908,0.00172237],"genre_scores_gemma":[0.998786,0.0002061761,0.0001912158,0.00002261366,0.000004551028,0.00002886687,0.0005560751,0.000002545364,0.0002020537],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2627946,"threshold_uncertainty_score":0.52253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.13976547084509,"score_gpt":0.4397844109912218,"score_spread":0.3000189401461318,"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."}}