{"id":"W7113434478","doi":"","title":"Heterogeneity in Asian Americans’ Mortality Trends, 2000-2022","year":2025,"lang":"","type":"other","venue":"Arabixiv (OSF Preprints)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; China; Public health; Ethnic group; Work (physics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001657729,0.0001932128,0.0003153344,0.001477699,0.0004720465,0.0009911985,0.000412542,0.0003662813,0.001399497],"category_scores_gemma":[0.003796111,0.0001869465,0.0009249525,0.003241063,0.0002429227,0.0006428567,0.0007889858,0.0006066984,0.0003085033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006163125,"about_ca_system_score_gemma":0.0008230983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06592152,"about_ca_topic_score_gemma":0.09437086,"domain_scores_codex":[0.999183,0.0001614416,0.0001601118,0.0001868516,0.0001211301,0.0001874134],"domain_scores_gemma":[0.9979424,0.0002720286,0.0008268479,0.0002312985,0.000404024,0.0003235248],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001009941,0.00000943363,0.9956164,0.00001847538,0.0002864777,0.00004146801,0.0002016658,0.00008519385,0.00005394879,0.0001028129,0.0008613773,0.002621762],"study_design_scores_gemma":[0.000003268211,0.000007935686,0.9988105,0.000007703115,0.00008154214,0.0000258344,0.000375025,0.0002018251,0.00001870521,0.00004114878,0.0004219836,0.000004490737],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9858084,0.001659163,0.0002256828,0.0008977859,0.00007524406,0.00001501482,0.008543346,0.00001664929,0.002758873],"genre_scores_gemma":[0.9962334,0.0002944816,0.00003685641,0.00009459541,0.00003074495,0.000008138811,0.002955182,0.000004552703,0.0003420547],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06592152,"threshold_uncertainty_score":0.1310756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02750635345506083,"score_gpt":0.3086582701793645,"score_spread":0.2811519167243036,"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."}}