{"id":"W4206262748","doi":"10.2196/30468","title":"Data Collection Mechanisms in Health and Wellness Apps: Review and Analysis","year":2021,"lang":"en","type":"review","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"mHealth; Data collection; Wearable computer; Computer science; Internet privacy; Wearable technology; Mobile apps; Mobile device; App store; Work (physics); World Wide Web; Human–computer interaction; Data science; Engineering; Medicine; 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":[0.02423422,0.001378783,0.003563627,0.01480935,0.001015221,0.003967935,0.002883128,0.002366087,0.003692339],"category_scores_gemma":[0.08590892,0.001251463,0.003843206,0.01524919,0.001907074,0.005131082,0.00238261,0.002320604,0.001254492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002298239,"about_ca_system_score_gemma":0.01075969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006700045,"about_ca_topic_score_gemma":0.009247864,"domain_scores_codex":[0.9855218,0.005279775,0.003974536,0.00124574,0.003672164,0.0003059569],"domain_scores_gemma":[0.7749218,0.1900068,0.01162587,0.002914813,0.01964831,0.000882362],"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":[0.0002112157,0.00008715581,0.00286045,0.3054494,0.0008666976,0.0001335223,0.001113414,0.0002607385,0.0004135004,0.002528646,0.01293786,0.6731374],"study_design_scores_gemma":[0.00008387303,0.0003581875,0.01404201,0.5640047,0.005795827,0.001268441,0.001597021,0.0005181525,0.001233653,0.002872977,0.4080237,0.0002015793],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0004531895,0.9967809,0.0007411073,0.000716718,0.0001569184,0.0001414492,0.0002595584,0.00002255541,0.0007276521],"genre_scores_gemma":[0.005822228,0.9897996,0.002509854,0.0007095629,0.0002041954,0.0003749101,0.0004002268,0.00002278404,0.0001565998],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.02423422,"threshold_uncertainty_score":0.1281644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2104093113655191,"score_gpt":0.5427371659032719,"score_spread":0.3323278545377528,"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."}}