{"id":"W1959579037","doi":"10.1109/icassp.1986.1168566","title":"Determining time delay via frequency estimation","year":2005,"lang":"en","type":"article","venue":"","topic":"Speech and Audio Processing","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Estimation; Sequence (biology); Computer science; Estimation theory; Time–frequency analysis; Algorithm; Spectral density estimation; Control theory (sociology); Mathematics; Telecommunications; Mathematical analysis; Artificial intelligence; Fourier transform; Engineering","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":[0.0005881905,0.001026919,0.0006483732,0.001038142,0.0004033233,0.001033489,0.0007670497,0.0008705051,0.00265366],"category_scores_gemma":[0.004042875,0.0004159882,0.0004063826,0.0006529021,0.0007072466,0.002921128,0.00102465,0.001082188,0.001330539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005195143,"about_ca_system_score_gemma":0.0005865591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001662873,"about_ca_topic_score_gemma":0.001495558,"domain_scores_codex":[0.9994795,0.0001139818,0.00002605232,0.0001581214,0.0001796016,0.00004285996],"domain_scores_gemma":[0.9988802,0.0006907337,0.0001292468,0.00009798309,0.0001718039,0.00003009424],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002658781,0.00005666505,0.002005723,0.0003687307,0.00007304629,0.0004214305,0.0002696221,0.3161806,0.07683937,0.1101615,0.002114503,0.4912429],"study_design_scores_gemma":[0.00005510156,0.0001217798,0.0008140295,0.00005534783,0.00004868672,0.0006382896,0.00009530417,0.8772535,0.03064676,0.07389167,0.0162755,0.0001040942],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002371608,0.0001945493,0.9968129,0.00004280227,0.0000314925,0.000006803175,0.00001653981,0.00007588394,0.0004475236],"genre_scores_gemma":[0.1679741,0.001945883,0.824635,0.00008314149,0.0003029746,0.0000568956,0.0001883436,0.0001750228,0.004638644],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00265366,"threshold_uncertainty_score":0.008877397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007760889880905284,"score_gpt":0.2330948321137755,"score_spread":0.2253339422328702,"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."}}