{"id":"W2966724782","doi":"10.1093/gji/ggz324","title":"Interferometric time-lapse velocity analysis: application to a salt-water disposal well in British Columbia, Canada","year":2019,"lang":"en","type":"article","venue":"Geophysical Journal International","topic":"Seismic Waves and Analysis","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Induced seismicity; Geology; Seismic interferometry; Seismology; Seismometer; Pore water pressure; Passive seismic; Seismic noise; Snow; Poromechanics; Ambient noise level; Noise (video); Interferometry; Environmental science; Geotechnical engineering; Geomorphology; Sound (geography)","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002299112,0.00009877834,0.0002848053,0.0002864267,0.00007718823,0.000465023,0.0004656003,0.00004202511,0.01135189],"category_scores_gemma":[0.00002342685,0.0001099713,0.0001724991,0.001010657,0.00001794294,0.0002208614,0.00003825698,0.0002726664,0.001262879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008145283,"about_ca_system_score_gemma":0.0001017135,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8687667,"about_ca_topic_score_gemma":0.9365931,"domain_scores_codex":[0.9983261,0.0000582534,0.0003804693,0.0003065697,0.0006114407,0.000317133],"domain_scores_gemma":[0.9993563,0.0000772662,0.00009407992,0.0001313465,0.0001173124,0.0002237482],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004579848,0.00009460719,0.9481013,0.000004166595,0.000553539,0.00008262688,0.00004755353,0.02249657,0.0001880852,0.000003441931,0.002954114,0.02542813],"study_design_scores_gemma":[0.0002363117,0.00004920047,0.8892966,0.00001320468,0.00006149333,0.00002457195,0.00005475554,0.1046495,0.00001397224,0.0003171112,0.00511925,0.0001639986],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969016,0.00001970641,0.0005785946,0.0007171481,0.0003539209,0.0000956514,0.0001346911,0.000008507064,0.001190127],"genre_scores_gemma":[0.9954612,0.000009614199,0.0001386536,0.0008897366,0.0003062222,0.000001359471,0.0003268363,0.000004111913,0.002862306],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08215296,"threshold_uncertainty_score":0.9995148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002614300210473399,"score_gpt":0.1794696668287581,"score_spread":0.1768553666182847,"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."}}