{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001914932,0.0001977293,0.0001978325,0.001064284,0.0001621882,0.0002263612,0.0001678277,0.0001954737,0.0003861054],"category_scores_gemma":[0.001001184,0.00009502928,0.0001202569,0.0007363036,0.0001461804,0.0001892792,0.0002767702,0.0002160915,0.0001270106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001350547,"about_ca_system_score_gemma":0.000129275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005046944,"about_ca_topic_score_gemma":0.009765419,"domain_scores_codex":[0.9999152,0.000009561856,0.000004400785,0.00001554781,0.00003478866,0.00002045147],"domain_scores_gemma":[0.9997575,0.0000872532,0.0000526091,0.00001617074,0.00005771206,0.0000288901],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001839586,0.0003564754,0.6140156,0.0002315335,0.0001858789,0.003729421,0.002034512,0.0110316,0.1684151,0.0003694377,0.001248681,0.1965422],"study_design_scores_gemma":[0.00002288827,0.0001182442,0.9799179,0.00001170375,0.0000445,0.0002493648,0.0006679397,0.01432213,0.00405187,0.00005749114,0.0005180695,0.00001780658],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984757,0.00002780377,0.001086323,0.00001455252,0.000002606884,0.000005372691,0.00007214645,0.000008654689,0.00030676],"genre_scores_gemma":[0.9978558,0.000062988,0.001501444,0.000006386571,0.0000082882,0.000007341216,0.0003107047,0.000005898906,0.0002409555],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005046944,"threshold_uncertainty_score":0.0100351,"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."}}