{"id":"W2404831560","doi":"10.2196/mhealth.5242","title":"User Preferences for Content, Features, and Style for an App to Reduce Harmful Drinking in Young Adults: Analysis of User Feedback in App Stores and Focus Group Interviews","year":2016,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Substance Abuse Treatment and Outcomes","field":"Medicine","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Collaboration for Leadership in Applied Health Research and Care - Greater Manchester; National Institute for Health and Care Research; King's College London; King's College Hospital NHS Foundation Trust; South London and Maudsley NHS Foundation Trust","keywords":"mHealth; Thematic analysis; Focus group; Phone; Mobile phone; Content analysis; Entertainment; Computer science; Multimedia; Internet privacy; Applied psychology; Psychology; Medicine; Qualitative research; Psychological intervention; 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":[0.01232197,0.0004245543,0.000619131,0.001685564,0.0008509929,0.001283855,0.0004166495,0.000617909,0.0007004771],"category_scores_gemma":[0.04767743,0.0003731996,0.000738101,0.0008754819,0.000573521,0.001450698,0.001596562,0.0005837256,0.0002058103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006112366,"about_ca_system_score_gemma":0.0007057667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001736777,"about_ca_topic_score_gemma":0.003687746,"domain_scores_codex":[0.9941235,0.003269038,0.0006844245,0.0003988453,0.001241112,0.0002831389],"domain_scores_gemma":[0.9426449,0.04632242,0.004004544,0.000728656,0.005649392,0.0006502149],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.001467167,0.0005541602,0.4167902,0.002748524,0.0002326551,0.001013884,0.4202715,0.000242724,0.01237683,0.0001344698,0.001526719,0.1426412],"study_design_scores_gemma":[0.00007490888,0.002929318,0.7722664,0.00126673,0.0002800266,0.001566025,0.2091114,0.002089564,0.003629513,0.0002208639,0.006378182,0.0001870388],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979469,0.0002015442,0.0008311783,0.0000771383,0.000006542856,0.0002952696,0.0001342641,0.00001748058,0.0004896946],"genre_scores_gemma":[0.9928635,0.0004513897,0.004596471,0.0001981261,0.00001282184,0.0009795501,0.0002737759,0.00002038913,0.0006041417],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01232197,"threshold_uncertainty_score":0.06516558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07880919678268637,"score_gpt":0.3737325341789482,"score_spread":0.2949233373962618,"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."}}