{"id":"W2899781256","doi":"10.3997/2214-4609.201802981","title":"Results From The Second Monitor DAS VSP At Quest CCS","year":2018,"lang":"en","type":"article","venue":"Proceedings","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Shell (Canada)","funders":"","keywords":"Computer science; Geology; Environmental science; Petroleum engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002832729,0.0001411934,0.0001191591,0.00003209353,0.0001164145,0.0000863671,0.0001908674,0.00008822089,0.0001462045],"category_scores_gemma":[0.0002002134,0.0001078605,0.0000376877,0.0001633563,0.00004263237,0.0001499326,0.00005419305,0.0001607999,0.0001859596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006030064,"about_ca_system_score_gemma":0.000003964077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001751864,"about_ca_topic_score_gemma":0.00001033881,"domain_scores_codex":[0.9992215,0.000005291109,0.0002095282,0.0001858142,0.0001566472,0.0002212312],"domain_scores_gemma":[0.999495,0.000147276,0.00002877203,0.0001557605,0.00009761673,0.00007552924],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005070625,0.00007440922,0.01858451,0.0004556855,0.0005009332,0.00001373471,0.03120348,0.06469259,0.2260562,0.002015345,0.6409219,0.01497418],"study_design_scores_gemma":[0.0008526132,0.00004617042,0.01328205,0.00006138942,0.00001590671,0.000005364935,0.0001149913,0.2789429,0.08686087,0.0005253326,0.618955,0.000337342],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9674124,0.0001866688,0.0008938599,0.0001837773,0.0006392358,0.0001005656,0.0000418367,0.0004923483,0.03004934],"genre_scores_gemma":[0.9875547,0.0000188533,0.007652607,0.00005445869,0.001492855,0.00001235943,0.00001039875,0.00004205401,0.003161675],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2142504,"threshold_uncertainty_score":0.4398422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01938601414644807,"score_gpt":0.2754041945383263,"score_spread":0.2560181803918782,"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."}}