{"id":"W3092322060","doi":"10.1136/bmjopen-2019-036371","title":"Impact of low and no alcohol beers on purchases of alcohol: interrupted time series analysis of British household shopping data, 2015–2018","year":2020,"lang":"en","type":"article","venue":"BMJ Open","topic":"Wine Industry and Tourism","field":"Business, Management and Accounting","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Addiction and Mental Health","funders":"National Institute for Health and Care Research","keywords":"Alcohol; Medicine; Interrupted time series; Interrupted Time Series Analysis; Alcohol content; Psychological intervention; Environmental health; Statistics; Mathematics","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":[0.002354112,0.00025849,0.0005788786,0.001194814,0.0002116429,0.001087111,0.0005848266,0.0003641047,0.001790764],"category_scores_gemma":[0.01209077,0.0002644511,0.0007296337,0.002766266,0.000367434,0.0006023722,0.0008676837,0.0006450723,0.0004070322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001791726,"about_ca_system_score_gemma":0.0009856528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1926248,"about_ca_topic_score_gemma":0.1483928,"domain_scores_codex":[0.9972813,0.0008818732,0.0003328045,0.0004099803,0.0007748822,0.0003191862],"domain_scores_gemma":[0.9914745,0.001973062,0.004223063,0.0004472717,0.001385602,0.0004965136],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001585504,0.0001229835,0.9815849,0.0002031557,0.0006205984,0.0001102653,0.000815741,0.001743283,0.0002964401,0.0002199846,0.001825525,0.01087155],"study_design_scores_gemma":[0.000007666155,0.00006115557,0.9978383,0.00002522194,0.00004817551,0.00002130233,0.000187321,0.001005607,0.00005139949,0.00001923452,0.0007274118,0.000007159121],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912754,0.000726957,0.0004686353,0.0001590095,0.00001654945,0.00002444071,0.006578367,0.0000195047,0.0007311691],"genre_scores_gemma":[0.986482,0.0005227051,0.0003859116,0.00005238386,0.00001457409,0.00005319915,0.01160332,0.00001197827,0.0008738265],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1926248,"threshold_uncertainty_score":0.3830072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1385753190569719,"score_gpt":0.3609770661603987,"score_spread":0.2224017471034268,"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."}}