{"id":"W4291752993","doi":"10.1190/image2022-3738748.1","title":"Time-lapse monitoring of saltwater disposal in Kansas and Oklahoma using ambient noise","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":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Environmental science; Ambient noise level; Noise (video); Remote sensing; Hydrology (agriculture); Geology; Computer science; Geotechnical engineering; Oceanography; Sound (geography)","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":[0.000112917,0.0001970617,0.0001767296,0.0006174142,0.0007885051,0.000471512,0.0003038966,0.0003235589,0.0005530711],"category_scores_gemma":[0.0002919654,0.0001325879,0.0001112552,0.0008514135,0.0002631671,0.0002897454,0.0005280708,0.0002134231,0.0001866184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001312576,"about_ca_system_score_gemma":0.00100556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.232228,"about_ca_topic_score_gemma":0.5814765,"domain_scores_codex":[0.9998896,0.000009731989,0.000007825393,0.00002643376,0.0000342533,0.00003208714],"domain_scores_gemma":[0.999723,0.00002506709,0.00008197843,0.00001262214,0.0001125463,0.00004482863],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002631052,0.0001731314,0.9457013,0.00005882523,0.00007463738,0.0004213145,0.001989612,0.001517741,0.03239879,0.00009584086,0.0005597926,0.01674597],"study_design_scores_gemma":[0.000003827788,0.00004420001,0.9953127,0.000008360332,0.00001498347,0.00002597173,0.001236391,0.001465981,0.001327533,0.00001027988,0.0005414977,0.000008263695],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998956,0.00002112559,0.0001165396,0.00002240724,0.000002253744,0.00000652624,0.000270274,0.00001376816,0.0005911095],"genre_scores_gemma":[0.9987414,0.00003674262,0.000285541,0.00001262228,0.000001799436,0.000009740691,0.0002935713,0.000002141152,0.0006164296],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.232228,"threshold_uncertainty_score":0.4617526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01502579044887614,"score_gpt":0.2291642960466573,"score_spread":0.2141385055977811,"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."}}