{"id":"W4289545058","doi":"10.1080/23748834.2022.2097829","title":"Multisectoral approaches to addressing global urban maternal and perinatal health inequities","year":2022,"lang":"en","type":"article","venue":"Cities & Health","topic":"Global Health Care Issues","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; Women's College Hospital; University of Toronto","funders":"Rockefeller Foundation","keywords":"Vulnerability (computing); Psychological intervention; Poverty; Economic growth; Health care; Inequality; Social determinants of health; Environmental health; Development economics; Business; Geography; Medicine; Economics; Nursing","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.001894766,0.0003856358,0.000897332,0.0001872733,0.005071724,0.0000571354,0.0004100118,0.0001077142,0.0007267719],"category_scores_gemma":[0.00008843226,0.0004123301,0.00007066927,0.0004178475,0.0001683494,0.0002031066,0.001165617,0.0009964452,0.0001156126],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004091662,"about_ca_system_score_gemma":0.002921161,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02530218,"about_ca_topic_score_gemma":0.003527358,"domain_scores_codex":[0.9934945,0.001727887,0.001218458,0.0007113738,0.0007982248,0.00204954],"domain_scores_gemma":[0.9975659,0.0001967901,0.000546387,0.0004586602,0.00007885713,0.001153427],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006221762,0.00008435664,0.6411917,0.007514766,0.00004650807,0.00004311122,0.06082748,0.0001124335,0.000001990703,0.0431566,0.2265769,0.01982198],"study_design_scores_gemma":[0.001685545,0.001708574,0.6663656,0.0008581344,0.000007774314,0.00009746801,0.05887626,0.0002972694,0.000002053364,0.0007988184,0.2687207,0.000581848],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9515654,0.01439274,0.0001369416,0.02223807,0.003065096,0.002460848,0.002254096,0.000483914,0.003402859],"genre_scores_gemma":[0.9721588,0.0001392254,0.002074579,0.02262168,0.0007591329,0.000568711,0.00008396017,0.00006398375,0.001529931],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04235778,"threshold_uncertainty_score":0.9998329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.304944581431092,"score_gpt":0.4465628811007202,"score_spread":0.1416182996696282,"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."}}