{"id":"W7132260813","doi":"","title":"Using Direct and Indirect Estimates for Alcohol-Attributable Mortality: A Modelling Study Using the Example of Lithuania","year":2023,"lang":"en","type":"other","venue":"Qucosa (Saxon State and University Library Dresden)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Neurosciences, Mental Health and Addiction; Canadian Institutes of Health Research; National Institutes of Health","keywords":"Estimation; Excise; Relative risk; Indirect effect; Risk assessment; Cohort","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004889538,0.0006342166,0.001191295,0.0008762121,0.0005484381,0.0002228389,0.0004265309,0.0002482064,0.00009236762],"category_scores_gemma":[0.00002051876,0.0005870758,0.0001603115,0.0009920682,0.0003523279,0.001186849,0.0006855034,0.0002877884,0.000009756876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008120503,"about_ca_system_score_gemma":0.0002457028,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01980894,"about_ca_topic_score_gemma":0.00197985,"domain_scores_codex":[0.9972389,0.0003163692,0.0003955273,0.000973521,0.0004160213,0.0006597079],"domain_scores_gemma":[0.998011,0.0004612359,0.0006378772,0.0006310305,0.00005564808,0.0002032386],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.006755736,0.003981316,0.6394475,0.008181749,0.03363943,0.002685451,0.04719472,0.07268008,0.003730751,0.003223815,0.1731295,0.005349995],"study_design_scores_gemma":[0.01525485,0.001548071,0.007458338,0.004768229,0.01357401,0.00007081109,0.0241105,0.4528846,0.003320533,0.002834399,0.4679539,0.006221799],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9591898,0.003145744,0.004176694,0.00002285055,0.0002670541,0.004559183,0.01246283,0.001365025,0.01481076],"genre_scores_gemma":[0.4122548,0.005305752,0.0484688,0.0001224984,0.000754178,0.0000345864,0.001381378,0.01082009,0.5208579],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6319891,"threshold_uncertainty_score":0.999658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.111013558847326,"score_gpt":0.2890097291186957,"score_spread":0.1779961702713697,"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."}}