{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00428104,0.00017466,0.001081788,0.000179786,0.0001687575,0.00008867202,0.00009108983,0.00007209797,0.00009124169],"category_scores_gemma":[0.002898283,0.00009523903,0.0001632987,0.0003164141,0.0001843839,0.0001198774,0.00005280154,0.0002285301,0.000002878068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007418755,"about_ca_system_score_gemma":0.000148961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001004549,"about_ca_topic_score_gemma":0.000006933799,"domain_scores_codex":[0.9967676,0.001130782,0.0007380635,0.0003877563,0.0006746334,0.0003011505],"domain_scores_gemma":[0.9961159,0.003102891,0.0001975943,0.0002053273,0.0002302441,0.0001480128],"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":[0.979971,0.0002860483,0.004478096,0.0004921064,0.00009824382,0.00000331262,0.005813406,0.000007998488,0.002919032,0.0001823855,0.00008289608,0.005665496],"study_design_scores_gemma":[0.9881005,0.003315846,0.002154508,0.001487703,0.00003499664,0.000003336545,0.0003585494,0.003431214,0.0004236177,0.00008834109,0.0005043172,0.00009708688],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.2538905,0.000006368469,0.00002154998,0.001449559,0.000002090727,0.7445627,9.073169e-7,0.00002380311,0.00004252211],"genre_scores_gemma":[0.1307039,5.054826e-7,0.0007103378,0.00008026743,0.00009910361,0.8681978,0.00000590628,0.00001916565,0.0001829764],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.1236351,"threshold_uncertainty_score":0.3883735,"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."}}