{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005371773,0.0002185348,0.0008299693,0.0005202229,0.00006925382,0.00001869473,0.00007147025,0.0001106842,0.00000610889],"category_scores_gemma":[0.00007145406,0.000139355,0.00006421917,0.000350368,0.00006143647,0.0002009736,0.00002695876,0.00009422593,2.099747e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000114807,"about_ca_system_score_gemma":0.00007153433,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001331774,"about_ca_topic_score_gemma":0.099547,"domain_scores_codex":[0.998279,0.00007613406,0.0005488176,0.0005056193,0.0001380122,0.0004524362],"domain_scores_gemma":[0.9989065,0.0002481198,0.0002057021,0.0002187997,0.00008103015,0.0003398613],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004070066,0.0001930843,0.912497,0.0007406791,0.0001039963,0.000001256014,0.009198763,1.561067e-7,0.0001343034,0.000278801,0.0003234214,0.07245846],"study_design_scores_gemma":[0.008779312,0.001465165,0.9835442,0.0007673888,0.0002860269,0.000003794032,0.004382399,0.00004507156,0.00008611306,0.00009136229,0.0004028449,0.0001463327],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922431,0.00382611,0.000161612,0.001196337,0.00006317791,0.002418439,0.0000475905,0.00002309858,0.00002054911],"genre_scores_gemma":[0.9945691,0.002622937,0.001600737,0.000392248,0.00005913078,0.0004708483,0.00005212895,0.0000207202,0.0002121361],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09821523,"threshold_uncertainty_score":0.9168839,"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."}}