{"id":"W3011677797","doi":"10.2196/16973","title":"Embodiment of Wearable Technology: Qualitative Longitudinal Study","year":2020,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wearable computer; Wearable technology; Prosthesis; Thematic analysis; Feeling; Embodied cognition; Activity tracker; Psychology; Qualitative research; Human–computer interaction; Applied psychology; Computer science; Physical medicine and rehabilitation; Medicine; Social psychology; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.0005906142,0.0001556084,0.0003490261,0.0003137964,0.000212952,0.00002111031,0.0004136331,0.0001042278,0.00001143119],"category_scores_gemma":[0.00006954388,0.0001442468,0.00002230884,0.001117866,0.0001492482,0.0002772097,0.0002161958,0.0004596932,0.00002713511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008408746,"about_ca_system_score_gemma":0.0002034491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005618449,"about_ca_topic_score_gemma":0.00001435336,"domain_scores_codex":[0.9982012,0.0001771572,0.0005087453,0.0005056651,0.0002355843,0.0003716472],"domain_scores_gemma":[0.998886,0.0000743136,0.0003632026,0.0003371004,0.000198811,0.0001406045],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0003761863,0.002227245,0.08331332,0.001529242,0.0001731423,0.00005911724,0.1821287,0.000008618898,0.0008605998,0.662331,0.003418622,0.06357422],"study_design_scores_gemma":[0.01580937,0.06406716,0.5341116,0.000841262,0.0002186042,0.0002241133,0.2304569,0.01660785,0.01316196,0.1142549,0.007514529,0.002731641],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9525575,0.0004332186,0.02009441,0.02535889,0.0001497262,0.0007424814,0.00000355007,0.0002704203,0.0003898301],"genre_scores_gemma":[0.9924349,0.00004364515,0.006520293,0.0008640194,0.00003201921,0.00007353233,8.002408e-7,0.00000791279,0.00002288197],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.548076,"threshold_uncertainty_score":0.5882214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1406965185953256,"score_gpt":0.4514200666976881,"score_spread":0.3107235481023625,"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."}}