{"id":"W4220936783","doi":"10.1117/12.2628583","title":"The development of wearable ECG device","year":2022,"lang":"en","type":"article","venue":"","topic":"ECG Monitoring and Analysis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Wearable computer; Smartwatch; Computer science; Wearable technology; Software; Computer hardware; Embedded system; Process (computing); Body area network; Data acquisition; Wireless; Telecommunications","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":[0.0006832044,0.0005368605,0.0005448431,0.0008266664,0.0002015719,0.0007655421,0.00096409,0.001285236,0.003231042],"category_scores_gemma":[0.0009469381,0.0003239605,0.0004916881,0.0008610766,0.0002471228,0.001256859,0.0006821761,0.0008180607,0.002372433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002074435,"about_ca_system_score_gemma":0.0003161369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002496378,"about_ca_topic_score_gemma":0.0001874891,"domain_scores_codex":[0.9991628,0.0001341912,0.00006696951,0.000244439,0.0003491993,0.0000423908],"domain_scores_gemma":[0.9995372,0.00007700935,0.00002975446,0.00004192879,0.0002776468,0.00003640701],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002355894,0.00008780618,0.001988333,0.002618216,0.00008154277,0.0009263905,0.0002977555,0.001064109,0.1934391,0.01870023,0.01428005,0.7662808],"study_design_scores_gemma":[0.0001294375,0.002377937,0.0117185,0.001287706,0.0002508446,0.01228872,0.0002795788,0.01625093,0.1950168,0.006693084,0.7534803,0.0002261576],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02725799,0.1105437,0.7801596,0.00343182,0.004270683,0.0008523781,0.000709448,0.001961073,0.0708134],"genre_scores_gemma":[0.2123579,0.1131743,0.5961346,0.002732582,0.002787147,0.0009483336,0.001195905,0.000204932,0.07046439],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003231042,"threshold_uncertainty_score":0.01080894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02554475799238153,"score_gpt":0.287783691708569,"score_spread":0.2622389337161875,"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."}}