{"id":"W4240360245","doi":"10.2523/84592-ms","title":"Iterative Integration of Dynamic Data in Reservoir Models","year":2003,"lang":"en","type":"article","venue":"Proceedings of SPE Annual Technical Conference and Exhibition","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Citation; Information retrieval; Focus (optics); Download; Probabilistic logic; Database; Data mining; World Wide Web; Artificial intelligence","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":[0.002242186,0.001030584,0.001556307,0.00115086,0.0008036898,0.001960264,0.001809925,0.001225501,0.002833684],"category_scores_gemma":[0.01214991,0.001625477,0.001421146,0.001569727,0.0009375348,0.002837188,0.003696541,0.002276964,0.0006160232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001580284,"about_ca_system_score_gemma":0.002579075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02516737,"about_ca_topic_score_gemma":0.02240474,"domain_scores_codex":[0.9985394,0.0005756343,0.0001146843,0.0001920133,0.0004348026,0.0001434394],"domain_scores_gemma":[0.9955017,0.003056309,0.0002752484,0.0002849445,0.0007588171,0.0001230073],"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":[0.00004838839,0.00004471696,0.001286606,0.00006829468,0.00006676725,0.0001093982,0.0001496826,0.9565246,0.0006081526,0.008693442,0.0006975165,0.03170237],"study_design_scores_gemma":[0.000002366883,0.000006238608,0.00005156029,0.000004931249,0.000005916292,0.000005728462,0.000009431964,0.9965928,0.0001870744,0.002797582,0.0003312946,0.000005037312],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02279383,0.0003288194,0.9719616,0.0003278396,0.00003918834,0.00007498197,0.0001150696,0.0005620635,0.003796665],"genre_scores_gemma":[0.6805336,0.0005327037,0.3118138,0.0001940324,0.00007593014,0.0004931362,0.0006040867,0.0004209065,0.005331837],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02516737,"threshold_uncertainty_score":0.05004179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04939533893868065,"score_gpt":0.3080210249369841,"score_spread":0.2586256859983035,"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."}}