{"id":"W4291753938","doi":"10.1190/image2022-3745367.1","title":"Effectiveness of dip-in DAS observations for low-frequency strain and microseismic analysis: The CanDiD experiment","year":2022,"lang":"en","type":"article","venue":"Second International Meeting for Applied Geoscience & Energy","topic":"Seismic Waves and Analysis","field":"Earth and Planetary Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Microseism; Azimuth; Wireline; Geology; Seismology; Hydraulic fracturing; Engineering; Petroleum engineering; Telecommunications; Physics; Optics; Wireless","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":[0.001364684,0.0006108918,0.0005600388,0.0006562612,0.001198823,0.0009610101,0.001281876,0.0009814163,0.001687364],"category_scores_gemma":[0.001962224,0.0002788119,0.0002624194,0.001023297,0.0008569701,0.0005915377,0.001375995,0.001254922,0.0004460665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001493621,"about_ca_system_score_gemma":0.002570479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06767976,"about_ca_topic_score_gemma":0.1502785,"domain_scores_codex":[0.9989795,0.0001092151,0.00002338297,0.0002853374,0.0003679723,0.0002345488],"domain_scores_gemma":[0.9986921,0.0002837746,0.00009883057,0.0002820457,0.0003521626,0.0002911509],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.007146418,0.001879173,0.09212109,0.0003252715,0.0002647316,0.001069015,0.0009388084,0.01986082,0.7804384,0.002129617,0.006477972,0.08734868],"study_design_scores_gemma":[0.001255563,0.003852419,0.4478013,0.00007729942,0.0002797717,0.000562016,0.001366862,0.1090313,0.4163102,0.001402983,0.01754845,0.0005117898],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9769831,0.0001600055,0.01032675,0.000261749,0.00006956526,0.0001829477,0.003657052,0.0006179411,0.007740993],"genre_scores_gemma":[0.9833424,0.00008045592,0.01328618,0.0001239852,0.00001991017,0.00007847966,0.001807486,0.0001173024,0.0011438],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06767976,"threshold_uncertainty_score":0.1345717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01629811515982319,"score_gpt":0.252509917583683,"score_spread":0.2362118024238598,"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."}}