{"id":"W6958668045","doi":"10.6084/m9.figshare.24002693","title":"Additional file 1 of Can lifestyle factors explain racial and ethnic inequalities in all-cause mortality among US adults?","year":2023,"lang":"en","type":"article","venue":"Figshare","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health; Western University","funders":"","keywords":"Ethnic group; Inequality; Race (biology); Population; Social inequality","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002550462,0.001694323,0.001865846,0.004551833,0.001510813,0.002277697,0.002683175,0.002237869,0.9081602],"category_scores_gemma":[0.06490447,0.001081604,0.003026105,0.006328721,0.0006067201,0.003363111,0.002173384,0.001618091,0.1962441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001345472,"about_ca_system_score_gemma":0.003577915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02678817,"about_ca_topic_score_gemma":0.03975634,"domain_scores_codex":[0.998661,0.0003050475,0.0002313071,0.0003245464,0.0002133565,0.0002646883],"domain_scores_gemma":[0.9414423,0.04756555,0.002669021,0.002423046,0.004376864,0.00152321],"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":[0.0002691024,0.0001440404,0.007379024,0.003074886,0.0001663225,0.00007882819,0.00008954272,0.0004797077,0.00002997164,0.001095906,0.9813361,0.005856698],"study_design_scores_gemma":[0.02322536,0.0006856912,0.1505127,0.01483897,0.001570533,0.001007459,0.002617744,0.00654876,0.000541589,0.03656724,0.7613642,0.0005198275],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.0002585973,0.00003068927,0.0001523103,0.0001866269,0.0000533633,0.0000737697,0.9979957,0.0001058414,0.00114314],"genre_scores_gemma":[0.01830846,0.0003714313,0.005364554,0.002431363,0.0004221664,0.004831892,0.9475597,0.0008160018,0.01989436],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9081602,"threshold_uncertainty_score":0.1309983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.184425987567534,"score_gpt":0.3858173707557369,"score_spread":0.2013913831882028,"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."}}