{"id":"W4285392233","doi":"10.2196/35684","title":"Wearing the Future—Wearables to Empower Users to Take Greater Responsibility for Their Health and Care: Scoping Review","year":2022,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":243,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wearable computer; Wearable technology; Health care; PsycINFO; Grey literature; MEDLINE; Thematic analysis; Medicine; Psychology; Medical education; Nursing; Qualitative research; Computer science; Sociology; Political science","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":[0.007067588,0.0004487274,0.001073897,0.0002922709,0.009738531,0.00003105394,0.0004336261,0.0001477683,0.0001479736],"category_scores_gemma":[0.0003102403,0.0003412416,0.00009933278,0.0009668436,0.00008406848,0.0001040894,0.0005150121,0.001326594,0.0000324802],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001000505,"about_ca_system_score_gemma":0.007036688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007933411,"about_ca_topic_score_gemma":0.001945835,"domain_scores_codex":[0.9918621,0.002161333,0.001892674,0.001293637,0.0004915078,0.002298716],"domain_scores_gemma":[0.9933233,0.001167202,0.0006693378,0.001213488,0.0002807672,0.003345861],"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":[0.004035666,0.0002453201,0.03041961,0.2519673,0.00003518924,0.000002557126,0.08316611,0.00002508992,0.0000100895,0.008974839,0.2585869,0.3625313],"study_design_scores_gemma":[0.001630197,0.001809817,0.02761068,0.007817241,0.0000348813,0.00001639406,0.02585581,0.00002660294,0.000001143743,0.0002935026,0.9344733,0.0004303789],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.2944696,0.1899016,0.0005578481,0.429863,0.00232441,0.08104867,0.0009298631,0.000400697,0.0005043619],"genre_scores_gemma":[0.1928165,0.08177413,0.003786417,0.5752966,0.001815449,0.1431073,0.0002630664,0.0002213414,0.0009191879],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.6758864,"threshold_uncertainty_score":0.999904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1062959334216376,"score_gpt":0.4810925883469986,"score_spread":0.3747966549253611,"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."}}