{"id":"W6983461831","doi":"","title":"Modulation spectrum analysis for noisy&#13;\\nelectrocardiogram signal processing and applications.","year":2016,"lang":"en","type":"dissertation","venue":"EspaceINRS Institutional Digital Repository (Institut National de la Recherche Scientifique)","topic":"Genetic and Environmental Crop Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Metric (unit); Pattern recognition (psychology); SIGNAL (programming language); Signal processing; Heartbeat; Noise (video); QRS complex; Heart rate; Modulation (music)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006837783,0.0007840363,0.0002964332,0.001512206,0.0002796561,0.0009050593,0.0004923386,0.0006407486,0.002991146],"category_scores_gemma":[0.001840781,0.0001632611,0.0005178336,0.0009677025,0.0004335887,0.0007654265,0.0005373555,0.0006741182,0.00165261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002865398,"about_ca_system_score_gemma":0.0003845224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009792728,"about_ca_topic_score_gemma":0.001290456,"domain_scores_codex":[0.9995604,0.0000861868,0.00002615418,0.00007754278,0.000223765,0.00002597041],"domain_scores_gemma":[0.9995246,0.0001596725,0.00007576112,0.00008538873,0.0001330778,0.00002148457],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001889174,0.00009765285,0.002054045,0.0005223933,0.000102011,0.0004737891,0.0002477643,0.02438007,0.168902,0.03858289,0.009485025,0.7549635],"study_design_scores_gemma":[0.00001951926,0.0002573385,0.01279066,0.0002139191,0.0001127269,0.001689802,0.0002020705,0.7348809,0.1035914,0.04306213,0.103092,0.00008748707],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01624164,0.005130883,0.9707723,0.0005143847,0.0003508684,0.00007897704,0.0002365989,0.0008394169,0.005834974],"genre_scores_gemma":[0.3788453,0.01179588,0.5875501,0.000578378,0.0009381867,0.0002173345,0.001565748,0.000398963,0.01811003],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002991146,"threshold_uncertainty_score":0.01000637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04120327690145292,"score_gpt":0.2802758361931479,"score_spread":0.239072559291695,"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."}}