{"id":"W2128725371","doi":"10.1109/imtc.2010.5488205","title":"Heart rate reliability for the Smart Rollator","year":2010,"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","funders":"","keywords":"Reliability (semiconductor); Artifact (error); Computer science; Wavelet transform; Wavelet; Noise (video); Artificial intelligence; Statistics; Mathematics","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":[0.001072448,0.0005392825,0.000695702,0.00102268,0.0001851041,0.0007093908,0.0005769301,0.0005923592,0.000749998],"category_scores_gemma":[0.005614278,0.0001927467,0.0002950646,0.0004148611,0.0003079717,0.0009102647,0.0005553063,0.0005311428,0.0006660898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003034784,"about_ca_system_score_gemma":0.0003203377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008321833,"about_ca_topic_score_gemma":0.000706821,"domain_scores_codex":[0.9991246,0.0001386306,0.00006039859,0.000239052,0.0004002167,0.00003715666],"domain_scores_gemma":[0.9979928,0.000672252,0.0004446464,0.0002013745,0.0006156272,0.00007337502],"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":[0.0007910777,0.00010785,0.03819305,0.0002479968,0.0001520415,0.0002557378,0.0002787771,0.1686021,0.0472322,0.007508812,0.002978141,0.7336522],"study_design_scores_gemma":[0.00002857765,0.0003271444,0.02104793,0.00003078844,0.00002988792,0.0005477689,0.00003973771,0.958372,0.01420602,0.002762665,0.002550033,0.00005739336],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08663669,0.0006633434,0.9100693,0.0001279829,0.00005185714,0.00004866457,0.0001082112,0.001161663,0.001132355],"genre_scores_gemma":[0.6371578,0.0003689832,0.3600415,0.00007214354,0.0001060959,0.00009143991,0.0003794209,0.000121132,0.001661491],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001072448,"threshold_uncertainty_score":0.00567174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01406423716923987,"score_gpt":0.2977673244485132,"score_spread":0.2837030872792733,"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."}}