{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003081901,0.0008474733,0.001055788,0.0008460435,0.0008660809,0.001396594,0.0008360217,0.001066266,0.004968742],"category_scores_gemma":[0.004564179,0.0003601587,0.000713142,0.0008933167,0.000689628,0.001149962,0.001827535,0.001071447,0.001729312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001660017,"about_ca_system_score_gemma":0.001618638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02562721,"about_ca_topic_score_gemma":0.03054052,"domain_scores_codex":[0.9981161,0.0003948457,0.00004748845,0.0002729086,0.001020442,0.000148286],"domain_scores_gemma":[0.9959829,0.0009717956,0.0001743268,0.0006520795,0.001646235,0.000572763],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.008277655,0.004341665,0.1105943,0.0006146753,0.000618406,0.0010875,0.0009376193,0.4257483,0.0490945,0.02087955,0.2392304,0.1385754],"study_design_scores_gemma":[0.00178423,0.003060813,0.1500423,0.00008451287,0.0002577034,0.0003066374,0.0005971435,0.6173326,0.06370591,0.009191422,0.153332,0.0003047802],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8309702,0.0005393021,0.02005687,0.003066629,0.0003950781,0.000415997,0.05664524,0.005615682,0.0822951],"genre_scores_gemma":[0.9213153,0.0001816746,0.02112006,0.0003532318,0.0001129593,0.0003555485,0.03805588,0.0009597138,0.01754565],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02562721,"threshold_uncertainty_score":0.05095607,"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."}}