{"id":"W2039119864","doi":"10.2196/mhealth.2709","title":"“Let’s get Wasted!” and Other Apps: Characteristics, Acceptability, and Use of Alcohol-Related Smartphone Applications","year":2013,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":111,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Health and Medical Research Council; Medical Research Council; Burnet Institute","keywords":"mHealth; Android (operating system); Internet privacy; Health promotion; Social media; App store; Promotion (chess); Advertising; Medicine; Psychology; World Wide Web; Public health; Computer science; Psychological intervention; Business; Nursing","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":[0.002414613,0.0002118494,0.0003002368,0.001120655,0.0005436481,0.00170346,0.0003075205,0.0006363349,0.001829919],"category_scores_gemma":[0.02294465,0.0002212168,0.0006619879,0.000694979,0.0005061793,0.002091579,0.0009247441,0.0005914481,0.0004502874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002962016,"about_ca_system_score_gemma":0.0005613329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002944036,"about_ca_topic_score_gemma":0.003560585,"domain_scores_codex":[0.9982218,0.0005558673,0.0003425438,0.0001337504,0.0006215582,0.0001244389],"domain_scores_gemma":[0.9840665,0.008922698,0.003423847,0.0003911787,0.002637835,0.0005579599],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004537822,0.0002432886,0.8443603,0.001455562,0.0001896386,0.001479539,0.06148545,0.0001015246,0.003504948,0.0003295539,0.001724483,0.08467197],"study_design_scores_gemma":[0.00001871102,0.0005981261,0.9342119,0.0007754898,0.0001987411,0.004332304,0.04706821,0.0005092266,0.0009059973,0.0002125935,0.01109422,0.00007437233],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946647,0.00118579,0.0003799588,0.0003279985,0.00002715087,0.0001414985,0.0002585453,0.00001720373,0.002997173],"genre_scores_gemma":[0.9953285,0.001636903,0.0009997645,0.0003911881,0.00003249154,0.0001421732,0.0002710945,0.00002602935,0.001171857],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002944036,"threshold_uncertainty_score":0.01276988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08396300865883441,"score_gpt":0.4269931768522383,"score_spread":0.3430301681934038,"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."}}