{"id":"W1949844748","doi":"10.1111/j.1360-0443.2005.00927.x","title":"SELECTION AND SELF‐SELECTION: HOW TO DETERMINE THE REAL IMPACT OF ALCOHOL ON HEALTH‐CARE UTILIZATION AND COSTS?","year":2004,"lang":"en","type":"letter","venue":"Addiction","topic":"Alcohol Consumption and Health Effects","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Addiction and Mental Health","funders":"","keywords":"Consumption (sociology); Medicine; Selection (genetic algorithm); Health care; Sample (material); Disease; Alcohol consumption; Psychology; Demography; Environmental health; Economics; Alcohol; Pathology; Computer science; Sociology","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":[],"consensus_categories":[],"category_scores_codex":[0.0002271921,0.0002991362,0.0004433022,0.0003825101,0.0003195667,0.00004278759,0.00003986295,0.0004952616,0.00004201374],"category_scores_gemma":[0.00006909936,0.0002239514,0.00009650769,0.000382571,0.00004716143,0.00009145731,0.00001882728,0.000874624,0.000009013454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001386521,"about_ca_system_score_gemma":0.0004595509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007437625,"about_ca_topic_score_gemma":0.0002539139,"domain_scores_codex":[0.9983544,0.0001987467,0.0003154422,0.0004462383,0.0003659287,0.0003192177],"domain_scores_gemma":[0.9988907,0.0001436586,0.0003112757,0.0002063217,0.000272857,0.0001752138],"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":[0.001008484,0.0001501591,0.01214126,0.00181502,0.0004339089,0.00002026506,0.001985907,0.00003647955,0.0005044647,0.00005630945,0.8255473,0.1563005],"study_design_scores_gemma":[0.006223751,0.01943083,0.5522909,0.002944335,0.000870318,0.001126344,0.0001582902,0.00161266,0.0006972777,0.00002293862,0.4139095,0.0007128436],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3101195,0.002338567,0.000485916,0.6780119,0.0008887301,0.00653862,0.0001417961,0.0005374735,0.0009375726],"genre_scores_gemma":[0.7942079,0.004941575,0.0002958025,0.1963695,0.002756138,0.0001986338,0.0008163228,0.00009947383,0.0003146121],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5401496,"threshold_uncertainty_score":0.9132471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07008719276372805,"score_gpt":0.3810179540581459,"score_spread":0.3109307612944179,"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."}}