{"id":"W2333884617","doi":"10.1139/e11-007","title":"Imaging the Nechako Basin, British Columbia, using ambient seismic noise<sup>1</sup>This article is one of a series of papers published in this Special Issue on the theme of <i>New insights in Cordilleran Intermontane geoscience: reducing exploration risk in the mountain pine beetle-affected area, British Columbia</i>.","year":2011,"lang":"en","type":"article","venue":"Canadian Journal of Earth Sciences","topic":"Seismic Waves and Analysis","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Geological Survey of Canada; University of Manitoba; University of Alberta","funders":"British Geological Survey; National Research Council Canada; University of Manitoba","keywords":"Geology; Seismic noise; Seismology; Structural basin; Volcano; Microseism; Passive seismic; Rayleigh wave; Ambient noise level; Outcrop; Sedimentary basin; Lithosphere; Surface wave; Sedimentary rock; Mantle (geology); Geophysics; Tectonics; Geomorphology; Paleontology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.00006659321,0.0002874635,0.0001009197,0.0007699662,0.000785025,0.0007057239,0.0003325434,0.0002389729,0.001166032],"category_scores_gemma":[0.0002719189,0.0001733298,0.00007265536,0.0009943243,0.0002103615,0.0002078104,0.0004068771,0.0002328688,0.0002354607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001926504,"about_ca_system_score_gemma":0.003249273,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8808595,"about_ca_topic_score_gemma":0.9761693,"domain_scores_codex":[0.999933,0.000002960878,0.000002060755,0.0000178161,0.00002576321,0.0000183896],"domain_scores_gemma":[0.9998931,0.000007479811,0.000009116652,0.000003552224,0.0000699702,0.00001685592],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004002563,0.000144769,0.5426431,0.0003069668,0.0001534119,0.001434167,0.002692218,0.02776779,0.1072728,0.0009503862,0.01254322,0.303691],"study_design_scores_gemma":[0.00002657,0.00003222463,0.9428747,0.00006876804,0.00005083158,0.0001578126,0.003058199,0.04111389,0.003901889,0.0002087653,0.008472496,0.0000339818],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9855972,0.0003238414,0.001906308,0.0002039143,0.00001479474,0.00003508749,0.001966579,0.0001447945,0.009807435],"genre_scores_gemma":[0.9888843,0.000468466,0.00507502,0.0000590301,0.000006031702,0.00002234144,0.001382894,0.00003543227,0.004066402],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1191405,"threshold_uncertainty_score":0.2396842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01991269603103477,"score_gpt":0.1894761157291716,"score_spread":0.1695634196981369,"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."}}