{"id":"W2020285779","doi":"10.1190/tle31111326.1","title":"Path effects in subsurface microseismic monitoring","year":2012,"lang":"en","type":"article","venue":"The Leading Edge","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Microseism; Geology; Borehole; Layering; Amplitude; Path (computing); Perpendicular; Seismology; Geophysics; Acoustics; Geodesy; Optics; Geometry; Physics; Computer science; Geotechnical engineering; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001238207,0.0005767077,0.0002268504,0.001041177,0.0002445112,0.0006975872,0.0005025716,0.0006739111,0.001062042],"category_scores_gemma":[0.006398222,0.0003466895,0.0001843441,0.001858225,0.0008383532,0.002218219,0.001094865,0.0007380156,0.0002467141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004158772,"about_ca_system_score_gemma":0.000436108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002412252,"about_ca_topic_score_gemma":0.002638462,"domain_scores_codex":[0.9992509,0.0002234998,0.00003084737,0.0001540335,0.0002888743,0.00005178491],"domain_scores_gemma":[0.997336,0.001783186,0.000333202,0.0002187836,0.0002863609,0.00004239441],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005963554,0.0000878062,0.03769287,0.0004965971,0.0001161688,0.0007283943,0.0005388737,0.2114506,0.06565028,0.04029226,0.0027895,0.6395603],"study_design_scores_gemma":[0.00007118533,0.0004343509,0.06367695,0.0001802027,0.0002076331,0.002457895,0.0004997575,0.69824,0.09960213,0.1002108,0.03419619,0.0002228029],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1327043,0.002625358,0.8579907,0.0004821657,0.00008494411,0.00008514857,0.0004651161,0.0008865161,0.004675726],"genre_scores_gemma":[0.7472327,0.003025027,0.2464747,0.0001238369,0.0001164735,0.0000803892,0.0004101298,0.0002765099,0.002260175],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002412252,"threshold_uncertainty_score":0.006548345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01771621388286192,"score_gpt":0.2383276668730632,"score_spread":0.2206114529902013,"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."}}