{"id":"W2605645340","doi":"10.1109/bhi.2017.7897293","title":"Towards unsupervised coherence-based assessment of ECG quality in different posture and movement conditions","year":2017,"lang":"en","type":"article","venue":"","topic":"ECG Monitoring and Analysis","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; University of Toronto","funders":"","keywords":"Computer science; Wearable computer; Coherence (philosophical gambling strategy); Artificial intelligence; Noise (video); SIGNAL (programming language); Wearable technology; Pattern recognition (psychology); Statistics; Mathematics; Embedded system","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002239251,0.0001012318,0.0003394933,0.00007161301,0.00008866786,0.0000263342,0.00007557149,0.00005158346,0.0001773653],"category_scores_gemma":[0.00006705322,0.00006904644,0.00007097836,0.00003607602,0.00007696188,0.00003308814,0.00003678348,0.0001080351,5.956891e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006164036,"about_ca_system_score_gemma":0.0000879755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001921634,"about_ca_topic_score_gemma":0.0002271967,"domain_scores_codex":[0.9991777,0.00004168052,0.0002499443,0.0001674224,0.0002313751,0.0001318961],"domain_scores_gemma":[0.9992665,0.0000402339,0.0001030804,0.0004090829,0.00007880509,0.0001023118],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001670211,0.0003525307,0.977841,0.0001076762,0.00006510382,0.00000491152,0.00004298307,0.000006467831,0.01923653,0.0002563468,0.00005494961,0.002014857],"study_design_scores_gemma":[0.001796582,0.0001448324,0.9850318,0.0001408646,0.00007909116,1.923668e-7,0.0002646246,0.002937248,0.009317216,0.0001991506,0.00001553423,0.00007279641],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991419,0.00002670307,0.0004244826,0.003982433,0.00004814412,0.0001610087,0.00002389341,0.00001430684,0.003900049],"genre_scores_gemma":[0.9979466,0.00002054253,0.001273353,0.0002346987,0.00003600051,0.00001974041,0.00003275064,0.000004843057,0.0004314835],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009919314,"threshold_uncertainty_score":0.2904949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05048694865129084,"score_gpt":0.4062408978325533,"score_spread":0.3557539491812625,"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."}}