{"id":"W2909216136","doi":"10.4095/212690","title":"Near-surface seismic methods applied to site-response charcterization at an earthquake monitoring station near London, Ontario","year":2001,"lang":"en","type":"report","venue":"","topic":"Seismic Waves and Analysis","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Seismology; Geology; Seismic microzonation","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001294531,0.0002146086,0.0001228688,0.0006015621,0.000271434,0.0002642852,0.0002095022,0.0001244378,0.001802911],"category_scores_gemma":[0.0006747565,0.0001456692,0.0001000662,0.000808069,0.0001421071,0.0001166249,0.0002141673,0.0001130592,0.0004331842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009959927,"about_ca_system_score_gemma":0.001083116,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4574569,"about_ca_topic_score_gemma":0.8037677,"domain_scores_codex":[0.9998106,0.00002201434,0.000005459323,0.00003072353,0.0001087279,0.00002245558],"domain_scores_gemma":[0.9998202,0.00002609331,0.00003339782,0.0000178682,0.00008650386,0.00001599317],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001915589,0.00008666103,0.4056875,0.0003041527,0.00006921017,0.0004590261,0.002527184,0.02871512,0.1545933,0.001028497,0.002541023,0.4037968],"study_design_scores_gemma":[0.00002647047,0.00009672095,0.9071885,0.0000160368,0.00003013575,0.0002729965,0.001192073,0.07530677,0.01041148,0.000248781,0.005174212,0.00003583532],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.957016,0.0001021492,0.03221017,0.00004382754,0.000006270301,0.0001219657,0.001807467,0.0001890682,0.008502979],"genre_scores_gemma":[0.9591367,0.0001724389,0.03336283,0.000009324127,0.000004139853,0.00007070827,0.001357181,0.00002815691,0.005858515],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5425432,"threshold_uncertainty_score":0.9095883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03912389334189335,"score_gpt":0.3042456842573674,"score_spread":0.265121790915474,"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."}}