{"id":"W2762004721","doi":"10.1111/add.13939","title":"Commentary on Parish <i>et al</i> . (2017): What is the best exposure for estimating alcohol‐attributable burden of disease?","year":2017,"lang":"en","type":"letter","venue":"Addiction","topic":"Substance Abuse Treatment and Outcomes","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mental Health Research Canada; Public Health Ontario; University of Toronto; Centre for Addiction and Mental Health","funders":"","keywords":"Comparability; Per capita; Consumption (sociology); Environmental health; Population; Medicine; Estimation; Burden of disease; Disease burden; Alcohol consumption; Survey data collection; Statistics; Harm; Demography; Geography; Alcohol; Mathematics; Economics; Psychology","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":[0.0002275252,0.0003447264,0.0005579055,0.00008280781,0.0003568288,0.0001152889,0.0002214822,0.0002290847,0.0001061185],"category_scores_gemma":[0.00007800527,0.0002350495,0.0003331453,0.00005120901,0.00009825751,0.0003780868,0.00003687973,0.0005990819,0.00004080762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001340958,"about_ca_system_score_gemma":0.00006692591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001293497,"about_ca_topic_score_gemma":0.000009415016,"domain_scores_codex":[0.9983972,0.00005580757,0.0003474306,0.0004026382,0.0004630974,0.0003338545],"domain_scores_gemma":[0.9978061,0.0005103161,0.0004763483,0.001006589,0.0001316591,0.0000690336],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002556309,0.00007243858,0.003890957,0.00008124115,0.0005299068,0.00005682491,0.0003793624,0.00001956819,0.0000107579,0.000001405065,0.9874635,0.00723835],"study_design_scores_gemma":[0.002869859,0.0004834751,0.0005004196,0.002468111,0.001849775,0.000009988196,0.0003308971,0.0003964723,0.0002707278,0.00006773106,0.990528,0.0002245156],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.004197498,0.003522778,0.0001321804,0.9881729,0.00180005,0.00148374,0.0003493802,0.00006732727,0.0002740921],"genre_scores_gemma":[0.01016261,0.001914336,0.0006932853,0.9731338,0.003480861,0.0003848023,0.006794984,0.00008707669,0.003348221],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01503913,"threshold_uncertainty_score":0.9585041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03947646184831476,"score_gpt":0.3115747501989928,"score_spread":0.2720982883506781,"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."}}