{"id":"W4402668571","doi":"10.2118/220946-ms","title":"Use of Machine Learning in Microseismic Monitoring for Thermal Operations in Cold Lake, AB, Canada","year":2024,"lang":"en","type":"article","venue":"SPE Annual Technical Conference and Exhibition","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Imperial Oil (Canada)","funders":"","keywords":"Microseism; Computer science; Geology; Seismology","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":[0.0005419962,0.0006495932,0.000272275,0.001814277,0.0008188413,0.001081098,0.0007587705,0.000283055,0.001210915],"category_scores_gemma":[0.001549742,0.0002146527,0.0002719282,0.001720261,0.0003736285,0.0004574565,0.0005878696,0.0004212615,0.0005278438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003676957,"about_ca_system_score_gemma":0.005759271,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7694013,"about_ca_topic_score_gemma":0.8212346,"domain_scores_codex":[0.9994598,0.00004599687,0.00002547561,0.0001114151,0.0002698381,0.00008738184],"domain_scores_gemma":[0.999106,0.0001535464,0.0000690301,0.00006768403,0.0005218356,0.0000818371],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003791228,0.000252282,0.2466803,0.0002722102,0.0002001706,0.0006204369,0.001057441,0.1809019,0.0367549,0.001274437,0.0139008,0.517706],"study_design_scores_gemma":[0.00002478838,0.00005574717,0.1339829,0.00006089437,0.00004814661,0.00009858657,0.000781336,0.81743,0.03166843,0.0009013945,0.01488388,0.00006394493],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8387406,0.0007579539,0.116821,0.001241332,0.0001096742,0.0002376126,0.01018015,0.01513271,0.01677898],"genre_scores_gemma":[0.9297665,0.0002338489,0.06294045,0.00008708246,0.00001292532,0.00003481752,0.003552119,0.0001862753,0.003185987],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2305987,"threshold_uncertainty_score":0.4639134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01859419349835329,"score_gpt":0.2285509056353719,"score_spread":0.2099567121370186,"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."}}