{"id":"W1991900515","doi":"10.1139/l01-077","title":"Analysis of strong and weak ground motions recorded at two sites during Loma Prieta earthquake by wavelet transform","year":2002,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Image and Signal Denoising Methods","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wavelet transform; Wavelet; Geology; Seismology; Computer science; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003299231,0.0001326905,0.0003270145,0.0007346926,0.0001189632,0.00011534,0.0002909867,0.0000431906,0.0001326887],"category_scores_gemma":[0.00004708704,0.0001375612,0.0001520623,0.0007392781,0.00003243552,0.0004802661,0.00001630325,0.0001867737,9.181185e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001081666,"about_ca_system_score_gemma":0.00005018653,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000474392,"about_ca_topic_score_gemma":0.03143679,"domain_scores_codex":[0.9989562,0.00003583327,0.0003787251,0.0001443772,0.0001741453,0.0003107029],"domain_scores_gemma":[0.9991204,0.00006995699,0.0001170485,0.0001889188,0.00009774381,0.0004059358],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000514232,0.0002320756,0.04097159,0.0008349541,0.008581853,0.001946399,0.02513619,0.4793563,0.2396366,0.005473913,0.004940896,0.1928379],"study_design_scores_gemma":[0.002247611,0.0002711941,0.1789783,0.0002694838,0.0007017822,0.0007510961,0.00009141027,0.8053463,0.006903666,0.0001375369,0.003513751,0.0007879392],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6071301,0.001756708,0.3899722,0.0002111938,0.0001436248,0.00004650702,0.00001468071,0.00001300117,0.0007120917],"genre_scores_gemma":[0.9933521,0.00005200545,0.006228892,0.00001273567,0.00003961947,5.926112e-7,0.000001428953,0.00001142322,0.0003011576],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3862221,"threshold_uncertainty_score":0.986237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01322069101169913,"score_gpt":0.2075605947723706,"score_spread":0.1943399037606715,"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."}}