{"id":"W3104649846","doi":"10.46532/jmic.20200902","title":"An Evaluation of Wearable Technological Advancement in Medical Practices","year":2020,"lang":"en","type":"article","venue":"","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Wearable computer; Wearable technology; Obligation; Health technology; Health care; Process (computing); Medicine; Nursing; Computer science; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01950225,0.0002809552,0.0003802882,0.003481736,0.0009218482,0.002510703,0.0004801514,0.0008148394,0.003811757],"category_scores_gemma":[0.0815411,0.0002107829,0.0008263151,0.002857856,0.001184385,0.001807862,0.002390738,0.0007107933,0.0004985632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001878058,"about_ca_system_score_gemma":0.001609141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005168989,"about_ca_topic_score_gemma":0.0008906896,"domain_scores_codex":[0.9589455,0.02259276,0.004186498,0.001244136,0.01207514,0.0009559718],"domain_scores_gemma":[0.8905507,0.07027057,0.01435367,0.003309649,0.01809259,0.00342296],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002098694,0.002667118,0.3139649,0.00450981,0.0003822565,0.0004972775,0.06448074,0.0004746784,0.003400547,0.00373606,0.003500812,0.6002871],"study_design_scores_gemma":[0.0001560191,0.01225884,0.8476274,0.002420986,0.0003628909,0.0008893496,0.08845629,0.0009742643,0.003087979,0.001209212,0.04245561,0.0001012448],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9587503,0.002837403,0.003328357,0.001033529,0.0001672978,0.001301174,0.0003745941,0.00005294297,0.03215428],"genre_scores_gemma":[0.9885931,0.001985867,0.005751254,0.000245595,0.00008342621,0.0008796128,0.0002106293,0.00001523913,0.002235265],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01950225,"threshold_uncertainty_score":0.103139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04126226216104284,"score_gpt":0.3185870309421817,"score_spread":0.2773247687811388,"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."}}