{"id":"W7045433040","doi":"","title":"Algorithms &amp; software for intelligent patient monitoring","year":2011,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"ECG Monitoring and Analysis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Artifact (error); Software; Noise (video); Expert system; Event (particle physics); Remote patient monitoring; Wavelet transform; Wavelet","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009388045,0.00004286869,0.000273286,0.00005401777,0.0001651846,0.00002058715,0.0001251587,0.00008685088,0.00008195204],"category_scores_gemma":[0.00006762009,0.0001417653,0.0002095932,0.0002190822,0.00009138034,0.00009543315,0.0000642355,0.000101387,0.00001961574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000766273,"about_ca_system_score_gemma":0.00004952021,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04606207,"about_ca_topic_score_gemma":0.009186354,"domain_scores_codex":[0.9991615,0.00001499008,0.0001279191,0.0002855475,0.0001931471,0.000216886],"domain_scores_gemma":[0.9990985,0.00003065608,0.00009582422,0.0002539654,0.0003603167,0.000160686],"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":[0.00002194192,0.0001993697,0.1581005,0.00009918484,0.0001265376,0.00005757091,0.0006698959,0.000001618857,0.0001125861,9.300153e-8,0.0006557786,0.8399549],"study_design_scores_gemma":[0.0007530436,0.0002864966,0.9927933,0.0004212652,0.0002799348,0.000041282,0.003159989,0.00005954611,0.00007085726,0.00009059616,0.001864362,0.0001793236],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9823673,0.0002439214,0.0164075,0.0000166822,0.0002848823,0.0002204865,0.00005664693,0.00009115705,0.0003114713],"genre_scores_gemma":[0.9527238,0.0001425516,0.04539331,0.000009796887,0.0001006581,0.00000141364,0.00002098463,0.00001671031,0.001590773],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8397756,"threshold_uncertainty_score":0.9602903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03418129362224836,"score_gpt":0.2184985373899596,"score_spread":0.1843172437677113,"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."}}