{"id":"W2927689437","doi":"10.2196/12771","title":"Is Wearable Technology Becoming Part of Us? Developing and Validating a Measurement Scale for Wearable Technology Embodiment","year":2019,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wearable computer; Wearable technology; mHealth; Human–computer interaction; Scale (ratio); Computer science; Construct (python library); Activity tracker; Mobile phone; Psychology; Psychological intervention","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":[0.01980804,0.0002722678,0.0004446897,0.001715975,0.001079047,0.002614453,0.0008395931,0.001017677,0.001385345],"category_scores_gemma":[0.04882542,0.0004618935,0.001010042,0.002039744,0.002095674,0.002545457,0.002247727,0.001796764,0.0003073467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001327709,"about_ca_system_score_gemma":0.002281104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001759244,"about_ca_topic_score_gemma":0.002510268,"domain_scores_codex":[0.9898117,0.004833159,0.001763738,0.000639159,0.002550764,0.0004013409],"domain_scores_gemma":[0.9637835,0.01772845,0.006908618,0.002272741,0.008087137,0.001219625],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001608461,0.0008940722,0.7846579,0.0009834734,0.0002395865,0.0002662459,0.0530564,0.0008776909,0.004319463,0.006908802,0.002827545,0.1448079],"study_design_scores_gemma":[0.00006060877,0.001059675,0.909234,0.0008664778,0.0001775356,0.000621494,0.05851067,0.005777734,0.002771801,0.00362435,0.01717248,0.0001230463],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9630044,0.0005362564,0.0222766,0.001019871,0.0001127331,0.002965248,0.0003330781,0.00005502643,0.009696898],"genre_scores_gemma":[0.9574206,0.000603246,0.03724031,0.0003148045,0.00002237924,0.003549026,0.0003074314,0.00001480635,0.0005273658],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01980804,"threshold_uncertainty_score":0.1047562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07561720940505487,"score_gpt":0.3728475916324107,"score_spread":0.2972303822273558,"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."}}