{"id":"W4291900727","doi":"10.2196/32768","title":"Exploring Factors Associated With Mobile Phone Behaviors and Attitudes Toward Technology Among Adults With Alcohol Use Disorder and Implications for mHealth Interventions: Exploratory Study","year":2022,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Impact of Technology on Adolescents","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Minority Health and Health Disparities; National Institute on Alcohol Abuse and Alcoholism; National Institutes of Health","keywords":"Psychological intervention; mHealth; Anxiety; Clinical psychology; Alcohol use disorder; Psychology; Mobile phone; Sobriety; Marital status; Mobile technology; Psychiatry; Medicine; Population; Environmental health; Mobile device; Alcohol","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":[0.002118886,0.0003929943,0.0004253547,0.001006154,0.00107644,0.001432279,0.0003601285,0.0007352946,0.002495054],"category_scores_gemma":[0.007528895,0.0003964678,0.001279315,0.0009916783,0.0005003416,0.001112815,0.001241067,0.0009766457,0.0002925667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004714383,"about_ca_system_score_gemma":0.001305049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004617545,"about_ca_topic_score_gemma":0.00917367,"domain_scores_codex":[0.9987482,0.0005675701,0.0001632416,0.0001066506,0.0002077175,0.0002065331],"domain_scores_gemma":[0.9949161,0.002175399,0.001658987,0.0001893666,0.0005180683,0.0005420286],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005159288,0.0004556001,0.9941812,0.00003983296,0.00005573809,0.00005197765,0.001484897,0.0000162356,0.00007276422,0.00002391547,0.00008126365,0.003484868],"study_design_scores_gemma":[0.00001210967,0.0005529982,0.989431,0.00004603383,0.00006708079,0.0001024289,0.009182933,0.0002320512,0.00005259395,0.00003295268,0.0002801766,0.000007653121],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991603,0.0001270365,0.0000737628,0.00008989384,0.00000334856,0.00007686938,0.0001041731,0.000001218116,0.0003633519],"genre_scores_gemma":[0.9990233,0.0001625828,0.0002800061,0.00008683439,0.000009641485,0.0001133174,0.0001099774,0.000001105159,0.0002131593],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004617545,"threshold_uncertainty_score":0.01120585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2606337514274957,"score_gpt":0.4721960407267879,"score_spread":0.2115622892992922,"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."}}