{"id":"W2319063701","doi":"10.1190/1.3513105","title":"Complex spectral decomposition via inversion strategies","year":2010,"lang":"en","type":"article","venue":"","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Algorithm; Computer science; Time–frequency analysis; Matrix decomposition; Inverse problem; Inversion (geology); Fourier transform; Wavelet; Norm (philosophy); Signal processing; Time–frequency representation; Radio spectrum; Acoustics; Mathematics; Geology; Artificial intelligence; Telecommunications; Physics; Seismology; Mathematical analysis","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006839302,0.001072664,0.0004642505,0.0008246664,0.0003102456,0.001383565,0.0006196531,0.0005759594,0.005736969],"category_scores_gemma":[0.001839071,0.000282953,0.0005355942,0.0007829895,0.0005901867,0.001270384,0.001287153,0.0008514066,0.002377535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003479067,"about_ca_system_score_gemma":0.000596326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009851848,"about_ca_topic_score_gemma":0.001068669,"domain_scores_codex":[0.9997198,0.00008866803,0.00001673608,0.00004074144,0.0001121782,0.00002192577],"domain_scores_gemma":[0.9996318,0.0001471088,0.00003107578,0.00004822097,0.0001239685,0.0000178177],"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":[0.00005917974,0.00005580255,0.0002589945,0.0002285222,0.0000586356,0.0001911812,0.0001810265,0.1508408,0.0184592,0.4542725,0.006192973,0.3692013],"study_design_scores_gemma":[0.00001745207,0.00003356712,0.0001066678,0.00003331801,0.00001491526,0.0001621072,0.00004905357,0.8601712,0.004223206,0.119462,0.01570828,0.00001830383],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001145308,0.0001136352,0.9955174,0.0000631531,0.00002180393,0.0000194058,0.00001869134,0.00007059247,0.003029946],"genre_scores_gemma":[0.08622011,0.001105968,0.9033242,0.000119846,0.000123957,0.0002232746,0.0001723142,0.0001699279,0.008540401],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005736969,"threshold_uncertainty_score":0.0191921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0144934018583117,"score_gpt":0.2417564711215844,"score_spread":0.2272630692632726,"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."}}