{"id":"W4224227572","doi":"10.1007/s00103-022-03528-9","title":"Potenzielle Auswirkungen erhöhter Alkoholsteuern auf die alkoholbedingte Krankheitslast in Deutschland: Eine Modellierungsstudie","year":2022,"lang":"de","type":"article","venue":"Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz","topic":"Substance Abuse Treatment and Outcomes","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"Technische Universität Dresden","keywords":"Per capita; Excise; Alcohol consumption; Alcohol; Medicine; Environmental health; Consumption (sociology); Economics; Chemistry; Population","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":[],"consensus_categories":[],"category_scores_codex":[0.001707325,0.00139608,0.00155263,0.0007819515,0.0003545859,0.001624441,0.0009454543,0.001680097,0.004453937],"category_scores_gemma":[0.004061081,0.0005438723,0.002763421,0.0006631298,0.0005216706,0.0007912864,0.0007824308,0.001275486,0.0003134347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002307302,"about_ca_system_score_gemma":0.001512817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05875763,"about_ca_topic_score_gemma":0.02525737,"domain_scores_codex":[0.9995041,0.0002514313,0.00002705488,0.00007482184,0.0000485391,0.00009412871],"domain_scores_gemma":[0.9946742,0.004532602,0.0003187978,0.00008635897,0.0003002673,0.00008767242],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002977853,0.0001638473,0.003851557,0.0003632469,0.0002372187,0.000128887,0.00006164363,0.9886466,0.0004153268,0.001975549,0.000618493,0.003239806],"study_design_scores_gemma":[0.0002026558,0.0003578459,0.002758088,0.0001677424,0.0004652456,0.00005997158,0.0001241068,0.9907769,0.0005660916,0.002942798,0.001541695,0.00003676598],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9430762,0.01103747,0.02405503,0.001682827,0.0001573397,0.0001835575,0.004462274,0.0001651829,0.01518005],"genre_scores_gemma":[0.9897895,0.002521279,0.003709782,0.000195598,0.00002708887,0.0001869599,0.001229361,0.00003413978,0.002306207],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05875763,"threshold_uncertainty_score":0.1168312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02978669286449826,"score_gpt":0.273569755577353,"score_spread":0.2437830627128547,"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."}}