{"id":"W248144815","doi":"","title":"Lifetime-risk of alcohol-attributable mortality based on different levels of alcohol consumption in seven European countries : Implications for low-risk drinking guidelines","year":2015,"lang":"en","type":"article","venue":"STM:n Hallinnonalan avoin julkaisuarkisto (Julkari)","topic":"Alcohol Consumption and Health Effects","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Addiction and Mental Health","funders":"","keywords":"Environmental health; Alcohol consumption; Consumption (sociology); Attributable risk; Medicine; Risk assessment; Alcohol; Demography; Population; Computer security; Computer science","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"],"consensus_categories":[],"category_scores_codex":[0.005007465,0.0006197997,0.001480464,0.0006512722,0.0002513273,0.00004028159,0.0004083476,0.0003018486,0.000151959],"category_scores_gemma":[0.002302941,0.0005679824,0.0003919654,0.0004792358,0.0004019609,0.0001491494,0.0001164411,0.0007120598,0.00008467941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004670753,"about_ca_system_score_gemma":0.000799432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004612253,"about_ca_topic_score_gemma":0.0004507308,"domain_scores_codex":[0.9941655,0.0008553517,0.00235153,0.0009110913,0.0009272766,0.0007892874],"domain_scores_gemma":[0.9937485,0.00134826,0.001549918,0.001208071,0.001593826,0.0005514405],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00143634,0.0009239546,0.9859814,0.001265443,0.0002523249,0.00001205498,0.0004659093,0.001967184,0.001616937,0.00147546,0.003124289,0.001478725],"study_design_scores_gemma":[0.009847918,0.0008702499,0.9685555,0.00133388,0.0005586243,0.00001460584,0.00007587537,0.01083698,0.001867508,0.001063508,0.004451304,0.000524117],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9762942,0.0009269328,0.01256546,0.002107374,0.0004275358,0.003293723,0.002522363,0.0001805795,0.001681791],"genre_scores_gemma":[0.9941396,0.0004139753,0.002689336,0.001134506,0.0002701425,0.0002160693,0.0006993825,0.0001138677,0.000323079],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0178454,"threshold_uncertainty_score":0.9996772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2237887709080606,"score_gpt":0.4224927492404543,"score_spread":0.1987039783323936,"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."}}