{"id":"W2942014091","doi":"10.2196/13895","title":"Exploring User Needs and Preferences for Mobile Apps for Sleep Disturbance: Mixed Methods Study","year":2019,"lang":"en","type":"article","venue":"JMIR Mental Health","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"mHealth; Focus group; Sleep (system call); Thematic analysis; Psychology; Computer science; Personalization; Wearable computer; Applied psychology; Internet privacy; Qualitative research; Medicine; World Wide Web; Psychological intervention; Psychiatry","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":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.002832595,0.0002855561,0.000676965,0.0001834362,0.001763209,0.00001574293,0.0002211587,0.0001336379,0.00007852097],"category_scores_gemma":[0.00004249738,0.0002494777,0.00007955778,0.0003242763,0.00004071419,0.0002503276,0.0001278086,0.000415844,0.00005337799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004015391,"about_ca_system_score_gemma":0.0005476118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004050986,"about_ca_topic_score_gemma":0.0003310483,"domain_scores_codex":[0.9961298,0.0006737628,0.001125466,0.0006380497,0.0002249074,0.001208022],"domain_scores_gemma":[0.996833,0.001320694,0.000499879,0.0005197746,0.000126199,0.0007004652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001286974,0.001404718,0.1366191,0.01236839,0.00006374552,8.934664e-8,0.03868186,0.000005734689,0.0001120284,0.009205363,0.03228226,0.7679698],"study_design_scores_gemma":[0.005793258,0.003434388,0.08663964,0.0002952517,0.0000196681,9.195384e-7,0.08686011,0.000366784,0.00002960813,0.0007058365,0.8155324,0.0003220782],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9190118,0.001318859,0.002555327,0.001685856,0.002354911,0.07218974,0.000370196,0.0001889316,0.0003243326],"genre_scores_gemma":[0.6399643,0.0008042377,0.01631547,0.002116069,0.0003303772,0.3380748,0.0002392396,0.00007336225,0.002082219],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7832502,"threshold_uncertainty_score":0.9999958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1440685701074383,"score_gpt":0.5082959648880818,"score_spread":0.3642273947806435,"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."}}