{"id":"W3136354680","doi":"10.3997/2214-4609.202131090","title":"10 years of monitoring the Ekofisk field with 4D seismic data from a PRM system","year":2021,"lang":"en","type":"article","venue":"","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"ConocoPhillips (Canada)","funders":"","keywords":"Field (mathematics); Geology; Seismology; Computer science; 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":[0.001938961,0.0007700873,0.0008344833,0.001725457,0.0007836097,0.0006755653,0.0006553599,0.001291925,0.001530438],"category_scores_gemma":[0.0008565403,0.0004241976,0.0006649009,0.002091959,0.0004649759,0.001109975,0.001170174,0.0005042903,0.0007021496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007312232,"about_ca_system_score_gemma":0.0008587856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02249118,"about_ca_topic_score_gemma":0.04027388,"domain_scores_codex":[0.9993217,0.00006534476,0.00006206834,0.0002314414,0.0001750637,0.0001443392],"domain_scores_gemma":[0.998947,0.0001039564,0.0002084754,0.0002566652,0.000339129,0.0001447356],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001988416,0.003137528,0.6136413,0.0009006028,0.001830741,0.00151342,0.001588412,0.0528486,0.08201968,0.0007297513,0.007474978,0.2323266],"study_design_scores_gemma":[0.00007208762,0.0006008748,0.9704911,0.00006038986,0.0003054468,0.0002849995,0.0003501788,0.008078025,0.005529767,0.0002302522,0.0139423,0.00005446225],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9801489,0.0009493021,0.005176215,0.0002654821,0.00006694316,0.00007753895,0.009363349,0.0002537681,0.003698582],"genre_scores_gemma":[0.9526299,0.0007127607,0.0120411,0.0002043658,0.00008223255,0.00009686941,0.03099086,0.00005635936,0.003185601],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02249118,"threshold_uncertainty_score":0.04472053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.019813887724431,"score_gpt":0.2213748124410705,"score_spread":0.2015609247166395,"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."}}