{"id":"W2900552970","doi":"10.2196/11157","title":"A Smartphone App to Assess Alcohol Consumption Behavior: Development, Compliance, and Reactivity","year":2018,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Substance Abuse Treatment and Outcomes","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Health and Medical Research Council; Medical Research Council","keywords":"Smartphone app; Alcohol consumption; Compliance (psychology); Smartphone application; Psychology; mHealth; Reactivity (psychology); Consumption (sociology); Alcohol; Applied psychology; Internet privacy; Computer science; Social psychology; Psychological intervention; Medicine; Psychiatry; Multimedia","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":[0.008814096,0.0007805616,0.000398021,0.001000383,0.0003809393,0.000889426,0.000942092,0.0005640773,0.002861539],"category_scores_gemma":[0.02681509,0.0004772353,0.0008000165,0.0003296583,0.0004204419,0.0008821688,0.001396527,0.0006448458,0.001658663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004082955,"about_ca_system_score_gemma":0.001717368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001537391,"about_ca_topic_score_gemma":0.003857248,"domain_scores_codex":[0.9957897,0.001556105,0.0006294496,0.0003643612,0.001508585,0.0001518473],"domain_scores_gemma":[0.9774317,0.01087235,0.001588533,0.001789222,0.007610263,0.0007079315],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001870051,0.001580802,0.1165528,0.002795347,0.0002024047,0.0009521053,0.00490645,0.0008955362,0.02886958,0.0005902118,0.02533369,0.8154511],"study_design_scores_gemma":[0.001175838,0.01718977,0.7294413,0.003705947,0.001220995,0.007093814,0.003649584,0.02574892,0.05283262,0.003269421,0.1539745,0.0006973455],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7219523,0.001521525,0.1869975,0.002219562,0.0006172166,0.04828185,0.006212436,0.01428373,0.01791384],"genre_scores_gemma":[0.4921775,0.001628358,0.4600563,0.001378083,0.0002316718,0.03161169,0.003988023,0.0009306869,0.007997614],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008814096,"threshold_uncertainty_score":0.04661393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2467476520945238,"score_gpt":0.451573451775002,"score_spread":0.2048257996804782,"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."}}