{"id":"W2121105889","doi":"10.1109/tfsa.1998.721485","title":"Detection of nonlinear frequency-modulated components in the time-frequency plane using an array of accumulators","year":2002,"lang":"en","type":"article","venue":"","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Hydraulic accumulator; Time–frequency analysis; Nonlinear system; Frequency modulation; Energy (signal processing); Acoustics; SIGNAL (programming language); Noise (video); Signal-to-noise ratio (imaging); Plane (geometry); Computer science; Electronic engineering; Optics; Physics; Radio frequency; Mathematics; Engineering; Telecommunications; Artificial intelligence","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":[0.0003405785,0.0004502737,0.0004573907,0.0006588679,0.000308446,0.0005068711,0.0009352289,0.0006056124,0.0007979848],"category_scores_gemma":[0.0009174555,0.0002568773,0.0001797182,0.0004154765,0.0004074667,0.0009654283,0.0005018918,0.0003803477,0.0004710706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001835454,"about_ca_system_score_gemma":0.00025028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001615587,"about_ca_topic_score_gemma":0.0004546612,"domain_scores_codex":[0.9997055,0.00005422577,0.00002203862,0.00007968476,0.0001179276,0.00002051754],"domain_scores_gemma":[0.9994391,0.0001732152,0.0001624352,0.0000587183,0.0001331855,0.00003340156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005406677,0.0001720724,0.004439831,0.000230615,0.00006674315,0.0002958146,0.0001105559,0.00998519,0.730387,0.005749621,0.0005022811,0.2475196],"study_design_scores_gemma":[0.00005591889,0.0007381122,0.002983393,0.00003328171,0.00008729873,0.00110422,0.00004615776,0.2520346,0.7350023,0.001722864,0.006107146,0.00008482847],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1597214,0.001147292,0.8355244,0.0002733571,0.0001327987,0.00009058759,0.00007584643,0.0007441544,0.002290136],"genre_scores_gemma":[0.5336355,0.0004864511,0.462892,0.0001452278,0.0001023413,0.00008878215,0.00005231138,0.00002510608,0.002572285],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0009352289,"threshold_uncertainty_score":0.002669513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03436146014668139,"score_gpt":0.2740341052545006,"score_spread":0.2396726451078192,"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."}}