{"id":"W2058907959","doi":"10.1109/dcc.2010.79","title":"A New Approach to Time-Frequency Analysis","year":2010,"lang":"en","type":"article","venue":"","topic":"Blind Source Separation Techniques","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Time–frequency analysis; Computer science; Signal processing; Frequency domain; Interval (graph theory); Dependency (UML); SIGNAL (programming language); Computation; Algorithm; Time domain; Digital signal processing; Mathematics; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002874557,0.00007233155,0.0001118702,0.0002916368,0.00003632539,0.0001877119,0.0008428115,0.00005395487,0.0002247819],"category_scores_gemma":[0.00002828139,0.00006136686,0.00007554996,0.00154822,0.000006894703,0.0002818676,0.0001304171,0.0001197581,0.0008765433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006938353,"about_ca_system_score_gemma":0.00006477218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001690356,"about_ca_topic_score_gemma":0.00005025762,"domain_scores_codex":[0.9992528,0.00002501519,0.0001227087,0.0002953201,0.0001753388,0.0001288274],"domain_scores_gemma":[0.9989915,0.00002066475,0.00002636584,0.0007531096,0.00005021184,0.0001581452],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[6.106605e-7,0.00005564854,0.0003477865,8.219409e-7,0.00006401965,5.964643e-7,0.0009930884,0.00006901449,0.00995762,0.9275996,0.0420468,0.0188644],"study_design_scores_gemma":[0.000651326,0.0002460999,0.01863236,0.000004673725,0.0002573317,0.00003835234,0.00004449402,0.6044539,0.09080973,0.1517601,0.1311032,0.001998411],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001021451,9.807384e-7,0.7791082,0.001201268,0.00002309449,0.00008317206,1.829935e-7,0.0007662715,0.2177954],"genre_scores_gemma":[0.08260968,1.590112e-7,0.9043269,0.001422074,0.00002786692,0.000009383467,0.000001559691,0.000004802259,0.01159754],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7758395,"threshold_uncertainty_score":0.9999014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01206336448092071,"score_gpt":0.2601272456475691,"score_spread":0.2480638811666483,"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."}}