{"id":"W3048442845","doi":"10.2196/19720","title":"Evaluating the Efficacy of a Mobile App (Drinks:Ration) and Personalized Text and Push Messaging to Reduce Alcohol Consumption in a Veteran Population: Protocol for a Randomized Controlled Trial","year":2020,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"Substance Abuse Treatment and Outcomes","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"NIHR Maudsley Biomedical Research Centre; Medical Research Council; Forces in Mind Trust; National Lottery Community Fund; National Institute for Health and Care Research; Department of Health and Social Care","keywords":"Randomized controlled trial; Medicine; Population; Psychological intervention; Alcohol Use Disorders Identification Test; mHealth; Mental health; Brief intervention; Intervention (counseling); Physical therapy; Psychiatry; Poison control; Environmental health; Injury prevention; Surgery","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05223179,0.007559923,0.01536112,0.003578143,0.004990709,0.006141601,0.004584558,0.01119714,0.06353349],"category_scores_gemma":[0.04672993,0.004002969,0.009692636,0.004026909,0.005310948,0.005967093,0.002862891,0.01142423,0.01459905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007701745,"about_ca_system_score_gemma":0.01778845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003141087,"about_ca_topic_score_gemma":0.006204784,"domain_scores_codex":[0.9671582,0.01824559,0.004848996,0.002819137,0.003815491,0.003112507],"domain_scores_gemma":[0.9778797,0.006117028,0.005124423,0.002329506,0.005918432,0.002630946],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.8548433,0.02742609,0.0009910781,0.0449232,0.003607311,0.0003997099,0.001039118,0.002693055,0.003895314,0.004222553,0.01692452,0.03903475],"study_design_scores_gemma":[0.9309659,0.02989432,0.001894891,0.005923361,0.001305304,0.00005951762,0.0002221265,0.002346115,0.001141046,0.002440853,0.02365799,0.000148431],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.000633355,0.00009386159,0.0004267753,0.0000653013,0.0001376684,0.9981707,0.0002308061,0.00003837431,0.0002030994],"genre_scores_gemma":[0.0006686158,0.0000594513,0.0009607723,0.00006446931,0.00002539208,0.9980254,0.0000442874,0.000003301787,0.0001482371],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.06353349,"threshold_uncertainty_score":0.2762314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3644558890387209,"score_gpt":0.5936617199444478,"score_spread":0.2292058309057269,"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."}}