{"id":"W2777453232","doi":"10.2196/mhealth.8791","title":"Insights From Google Play Store User Reviews for the Development of Weight Loss Apps: Mixed-Method Analysis","year":2017,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute for Health and Care Research","keywords":"Weight loss; Popularity; Thematic analysis; mHealth; App store; Computer science; Focus group; Psychological intervention; Psychology; Internet privacy; World Wide Web; Qualitative research; Medicine; Obesity; Social psychology","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":[0.07292462,0.0009423286,0.001547092,0.009628367,0.002777539,0.00440629,0.001577421,0.001173635,0.002247652],"category_scores_gemma":[0.1737243,0.001008613,0.002121937,0.00793938,0.001350478,0.003096489,0.004123939,0.001330272,0.000566065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005253962,"about_ca_system_score_gemma":0.007638204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00759264,"about_ca_topic_score_gemma":0.02635398,"domain_scores_codex":[0.9188141,0.05497595,0.008207728,0.003060474,0.01321428,0.001727502],"domain_scores_gemma":[0.7328709,0.2103422,0.01682862,0.004581572,0.03406668,0.001310038],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000972035,0.0008327516,0.06659321,0.02062668,0.0007672457,0.001362372,0.6842145,0.0002465221,0.003151675,0.001519022,0.00643134,0.2132826],"study_design_scores_gemma":[0.0005359692,0.002943099,0.2582744,0.02953372,0.0021907,0.001770202,0.6277605,0.004177892,0.004861219,0.002279734,0.06518529,0.0004871524],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9289224,0.01109087,0.02115109,0.002298262,0.0001895851,0.02284763,0.005391076,0.0002157273,0.007893519],"genre_scores_gemma":[0.8713722,0.006359791,0.05344173,0.002094891,0.0001458218,0.05954719,0.00298544,0.0002735094,0.003779435],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07292462,"threshold_uncertainty_score":0.3856668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1168190521600202,"score_gpt":0.4979651696805317,"score_spread":0.3811461175205115,"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."}}