{"id":"W2580267312","doi":"10.1016/s0140-6736(17)30186-1","title":"Macro-level perspective to reverse recent mortality increases","year":2017,"lang":"en","type":"letter","venue":"The Lancet","topic":"Global Health Care Issues","field":"Health Professions","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Life expectancy; Pacific islanders; Public health; Demography; Medicine; Death certificate; Population; Ethnic group; Epidemiology; Psychological intervention; Gerontology; Environmental health; Cause of death; Disease; Political science; Sociology; Psychiatry","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","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001794908,0.000463619,0.001303644,0.00007946166,0.001710379,0.00004435455,0.001999089,0.000987657,0.001607536],"category_scores_gemma":[0.003014718,0.0003195202,0.0001383126,0.0001494367,0.0001783412,0.00008214697,0.0007312846,0.00495873,0.008651058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001526324,"about_ca_system_score_gemma":0.0008905219,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05269118,"about_ca_topic_score_gemma":0.005939769,"domain_scores_codex":[0.9945513,0.001833117,0.0006028553,0.0007261414,0.0007493077,0.001537258],"domain_scores_gemma":[0.9937751,0.0008610603,0.0006880292,0.00359216,0.0008590738,0.0002245928],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001058228,0.00001496431,0.001765889,0.0004623604,0.00008258971,0.000218961,0.002159755,2.517131e-7,0.000001176802,0.0005151184,0.9945809,0.00009216787],"study_design_scores_gemma":[0.0005210321,0.00004742346,0.03524057,0.0008467485,0.00009861594,0.000006332419,0.001175959,6.102004e-7,0.000001535212,0.003439905,0.9582857,0.0003355037],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.002887803,0.0007165472,0.000006310971,0.9103013,0.003173111,0.002284785,0.003286585,0.0002308552,0.07711265],"genre_scores_gemma":[0.00144681,0.0008800038,0.0003166034,0.9380107,0.03910529,0.0003660237,0.0002532289,0.00008488534,0.01953647],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.05757618,"threshold_uncertainty_score":0.9999257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3003691599597734,"score_gpt":0.5211739417620105,"score_spread":0.2208047818022371,"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."}}