{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01933341,0.0005807148,0.001120156,0.002391672,0.00921855,0.003912409,0.001743033,0.001685778,0.003782758],"category_scores_gemma":[0.02584447,0.001272082,0.0006126232,0.002675429,0.004687703,0.005187626,0.005646204,0.003594053,0.0006381621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005118273,"about_ca_system_score_gemma":0.005945109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01407767,"about_ca_topic_score_gemma":0.02163561,"domain_scores_codex":[0.9924193,0.00513084,0.0003968109,0.0006401099,0.0005503765,0.0008625178],"domain_scores_gemma":[0.9822745,0.01070717,0.001994027,0.0008508395,0.002624841,0.001548548],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005778366,0.0002240121,0.01140141,0.0002097706,0.00000831341,0.0006036657,0.9818166,0.00004035112,0.0006901406,0.0006812567,0.0003134187,0.003953335],"study_design_scores_gemma":[0.00001008919,0.0001943805,0.007036889,0.0002149638,0.00000747573,0.0002275262,0.9887566,0.0001161494,0.0002405632,0.0002747834,0.002899634,0.00002096754],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944813,0.0006434072,0.001639748,0.0007988949,0.0000291209,0.0005578946,0.0003558101,0.00001612034,0.00147757],"genre_scores_gemma":[0.9938841,0.00086071,0.001535623,0.0004347251,0.00001326022,0.00128905,0.0002160318,0.00001707718,0.001749306],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01933341,"threshold_uncertainty_score":0.102246,"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."}}