{"id":"W7101735976","doi":"10.1109/tsp.2025.3624477","title":"Optimal Adaptive Time-Frequency Representation via Differentiable Short-Time Fourier Transform","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Signal Processing","topic":"Plant Diversity and Evolution","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Safran Electronics (Canada)","funders":"","keywords":"Short-time Fourier transform; Differentiable function; Representation (politics); Heuristic; Fourier transform; Discrete Fourier transform (general)","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":[],"consensus_categories":[],"category_scores_codex":[0.0001027146,0.0001559623,0.0001682379,0.00004906338,0.0007258952,0.00008530794,0.0001552818,0.0001290619,0.0008671501],"category_scores_gemma":[0.000001179319,0.00008176442,0.0001194623,0.0004845402,0.00006386652,0.0005069891,0.000001440823,0.0002025206,0.0001168261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007054528,"about_ca_system_score_gemma":0.00002271608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000916456,"about_ca_topic_score_gemma":0.00005111954,"domain_scores_codex":[0.9989515,0.00004997132,0.0001894743,0.000317841,0.0002319593,0.0002592627],"domain_scores_gemma":[0.9996919,0.00008453208,0.00003794612,0.00003809368,0.00008025615,0.00006729313],"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":[0.000311678,0.0002507013,0.0000458255,0.00001638166,0.0000539739,0.000005277633,0.0001193778,0.004343153,0.4124995,0.000005552752,0.0003290591,0.5820196],"study_design_scores_gemma":[0.0008434941,0.0008635397,0.003273028,0.0004792672,0.000445881,0.00002971163,0.0006726273,0.6602744,0.32871,0.002601122,0.0008370773,0.0009697825],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3818147,0.00007456019,0.6116945,0.0005971367,0.00009187773,0.0003071234,0.000106405,0.0002120013,0.005101766],"genre_scores_gemma":[0.9959811,0.00001069808,0.000820254,0.00007905948,0.00004454546,0.00001461867,0.00004063635,0.000001208941,0.003007891],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6559313,"threshold_uncertainty_score":0.9494686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02075376303422508,"score_gpt":0.2231924782844135,"score_spread":0.2024387152501885,"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."}}