{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02972654,0.0007733429,0.00145006,0.002492848,0.002312857,0.002663299,0.001192477,0.001322409,0.003738479],"category_scores_gemma":[0.03142951,0.0009257654,0.002169328,0.002322631,0.001035696,0.002609619,0.002051743,0.0009891782,0.0007001698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001601252,"about_ca_system_score_gemma":0.003151459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003668425,"about_ca_topic_score_gemma":0.00697312,"domain_scores_codex":[0.9859992,0.007900869,0.001989269,0.001301258,0.002062265,0.0007471848],"domain_scores_gemma":[0.9762887,0.01579532,0.002499419,0.001076881,0.003795862,0.0005438268],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.002368711,0.007692929,0.4080245,0.01632165,0.002284867,0.001832499,0.3725066,0.0002667279,0.003786146,0.001636767,0.004225242,0.1790534],"study_design_scores_gemma":[0.001101982,0.01901071,0.4230391,0.0137342,0.002927736,0.0032546,0.4933628,0.003341537,0.003201683,0.002988965,0.03356386,0.0004728296],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9761999,0.00388393,0.006417629,0.0005143544,0.00006205648,0.009281267,0.001122181,0.00004042654,0.00247825],"genre_scores_gemma":[0.9368094,0.003434315,0.02060379,0.002202786,0.00009158413,0.0339099,0.0008058148,0.00005247891,0.002089979],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02972654,"threshold_uncertainty_score":0.1572109,"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."}}