{"id":"W4408700812","doi":"10.1109/icsmd64214.2024.10920568","title":"Parameterized Adaptive Matching of Generalized Demodulation Transform for Signals with CrossFrequency Trajectories","year":2024,"lang":"en","type":"article","venue":"","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Ottawa","keywords":"Parameterized complexity; Demodulation; Matching (statistics); Computer science; Mathematics; Algorithm; Telecommunications; Statistics","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":[0.0006738565,0.0006927678,0.0003938219,0.0007081456,0.0002729461,0.0005823764,0.0006190768,0.0005767033,0.001399292],"category_scores_gemma":[0.002883213,0.0001911393,0.0005156632,0.0009214683,0.0004034292,0.00110897,0.0006797046,0.0006034666,0.0004836805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000346973,"about_ca_system_score_gemma":0.0005176609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001086745,"about_ca_topic_score_gemma":0.0009681508,"domain_scores_codex":[0.9994356,0.0001464309,0.00003371604,0.000135812,0.0002140806,0.00003430144],"domain_scores_gemma":[0.9994066,0.0002260068,0.00008384922,0.0001060234,0.000158343,0.00001924863],"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":[0.0002317565,0.0000834006,0.002039026,0.0001470126,0.00007271361,0.0001750356,0.0002766295,0.1481215,0.1265651,0.03029554,0.001197694,0.6907945],"study_design_scores_gemma":[0.00001327128,0.00007586958,0.0008383504,0.000008406188,0.0000147357,0.0002058941,0.00003121834,0.9647764,0.02581147,0.005234137,0.002967914,0.00002247385],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008929624,0.00006383577,0.9904473,0.00002567,0.0000125242,0.00001632636,0.00001048557,0.0001034419,0.0003908985],"genre_scores_gemma":[0.2476897,0.0002350755,0.749802,0.00006274204,0.00002958489,0.00009079449,0.0001810231,0.0001234328,0.001785637],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001399292,"threshold_uncertainty_score":0.004681051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01604102033971026,"score_gpt":0.2818392374660131,"score_spread":0.2657982171263029,"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."}}