{"id":"W2546175930","doi":"10.1109/iembs.2004.1403087","title":"Detection of movement artifacts in respiratory inductance plethysmography: performance analysis of a Neyman-Pearson energy-based detector","year":2005,"lang":"en","type":"article","venue":"","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Children's Hospital; McGill University","funders":"","keywords":"Estimator; Detector; Computer science; Phase detector; Statistics; Mathematics; Physics; 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":[0.007836093,0.0006989231,0.001092367,0.0009248137,0.0002575181,0.0008261895,0.0008399872,0.001351062,0.0005150975],"category_scores_gemma":[0.0230146,0.000334555,0.0003763888,0.0005586924,0.0005285645,0.00103139,0.000640461,0.0006815887,0.0004735235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005203687,"about_ca_system_score_gemma":0.0005232503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001094073,"about_ca_topic_score_gemma":0.0009770707,"domain_scores_codex":[0.9969373,0.001515236,0.0001473557,0.0003307293,0.0009522602,0.000117084],"domain_scores_gemma":[0.97202,0.02471455,0.0007503175,0.0007931582,0.001561949,0.0001600436],"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":[0.002476406,0.0005889937,0.03037901,0.0005254828,0.0006934541,0.0005450097,0.0002720275,0.2025469,0.08944286,0.01140319,0.001830786,0.6592959],"study_design_scores_gemma":[0.00004758535,0.0004792131,0.01099934,0.00001377474,0.00007894757,0.0005395957,0.00001548038,0.965187,0.02085952,0.00104216,0.0006984299,0.00003902337],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0720013,0.000826769,0.9259128,0.0001041668,0.00003425449,0.00005666083,0.000036896,0.0004036837,0.0006235155],"genre_scores_gemma":[0.6431076,0.0007404215,0.3533977,0.000204415,0.00009298101,0.0001139401,0.0002516782,0.0001271881,0.001964093],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007836093,"threshold_uncertainty_score":0.04144168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01229274259848544,"score_gpt":0.2090287463627929,"score_spread":0.1967360037643074,"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."}}