{"id":"W2005184787","doi":"10.2118/77374-ms","title":"Statistical Ranking of Stochastic Geomodels Using Streamline Simulation: A Field Application","year":2002,"lang":"en","type":"article","venue":"SPE Annual Technical Conference and Exhibition","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Ranking (information retrieval); Computer science; Streamlines, streaklines, and pathlines; Boundary (topology); Flow (mathematics); Field (mathematics); Data mining; Process (computing); Fluid dynamics; Geology; Machine learning; Mathematics; Engineering; Mechanics; Geometry","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":[0.002486674,0.0006490254,0.0006263924,0.001070201,0.0004049483,0.0008052848,0.0007993124,0.0008930104,0.001597068],"category_scores_gemma":[0.004121343,0.0002569378,0.0005423938,0.0009281557,0.0004707781,0.0005740101,0.0004361084,0.0007163177,0.0001199586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00124421,"about_ca_system_score_gemma":0.0007471969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02972299,"about_ca_topic_score_gemma":0.01755318,"domain_scores_codex":[0.9993553,0.0003805176,0.00003447742,0.00008772319,0.0000846406,0.00005754081],"domain_scores_gemma":[0.9939933,0.00479664,0.0002356865,0.0003060628,0.0005039093,0.0001643689],"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":[0.00006446116,0.0002011069,0.00419007,0.00001909387,0.0000212311,0.00004895667,0.00002495311,0.9862207,0.0003767797,0.001157435,0.0002452348,0.007429904],"study_design_scores_gemma":[0.00001008786,0.00005484854,0.0004901105,0.000001040401,0.000002037493,0.000002214876,0.000008709134,0.9988954,0.0002251597,0.0002393642,0.00006780039,0.000003262849],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9671518,0.0000553816,0.02950811,0.0001380168,0.00001430044,0.00009720524,0.0004616886,0.0005287894,0.002044616],"genre_scores_gemma":[0.9867939,0.00002440849,0.01248991,0.00001007261,0.000005611051,0.00002813014,0.0002521308,0.00002056638,0.0003752191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02972299,"threshold_uncertainty_score":0.05909997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03930195133410454,"score_gpt":0.3032674117893225,"score_spread":0.263965460455218,"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."}}