{"id":"W3209023096","doi":"10.2196/31353","title":"A Personalized Approach Bias Modification Smartphone App (“SWiPE”) to Reduce Alcohol Use: Open-Label Feasibility, Acceptability, and Preliminary Effectiveness Study","year":2021,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Substance Abuse Treatment and Outcomes","field":"Medicine","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Health and Medical Research Council; Medical Research Council","keywords":"Alcohol Use Disorders Identification Test; mHealth; Medicine; Craving; Alcohol; Intervention (counseling); Alcohol use disorder; Alcohol consumption; Physical therapy; Psychology; Clinical psychology; Psychological intervention; Poison control; Psychiatry; Injury prevention; Environmental health; Addiction","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":[0.006203111,0.001228978,0.00126685,0.0006034148,0.0005689689,0.0007849595,0.0009246169,0.001335518,0.004890806],"category_scores_gemma":[0.008760713,0.000606567,0.001523088,0.0003664991,0.001165274,0.001252419,0.000721373,0.00173892,0.0005546022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000558646,"about_ca_system_score_gemma":0.001390845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001057747,"about_ca_topic_score_gemma":0.001944626,"domain_scores_codex":[0.9950192,0.003131594,0.000320109,0.0004101873,0.000821795,0.0002971453],"domain_scores_gemma":[0.9960541,0.002108863,0.0005934415,0.0003213986,0.000505281,0.0004169936],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"nonrandomized_trial","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.2217813,0.4635045,0.00779518,0.005865691,0.001748409,0.0003275175,0.001883874,0.0008894779,0.02243954,0.000495036,0.002928853,0.2703407],"study_design_scores_gemma":[0.1369323,0.824254,0.02642931,0.0003682611,0.0009876059,0.0001866552,0.0005329662,0.002126475,0.004797255,0.0002936879,0.003018448,0.00007302212],"study_design_candidate":"nonrandomized_trial","study_design_consensus":"nonrandomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9745925,0.0006255909,0.003260841,0.0002696045,0.0001306599,0.01889624,0.0004790784,0.0001286019,0.001616803],"genre_scores_gemma":[0.951492,0.00131284,0.01766327,0.0005220596,0.0002078392,0.02689545,0.0003986676,0.00004845075,0.001459455],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006203111,"threshold_uncertainty_score":0.03280562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3149323330685142,"score_gpt":0.4736835143795094,"score_spread":0.1587511813109952,"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."}}