{"id":"W4250098802","doi":"10.2523/81036-ms","title":"Optimum Design and Control of the Production-Injection Operation Systems in Petroleum Reservoirs","year":2003,"lang":"en","type":"article","venue":"Proceedings of SPE Latin American and Caribbean Petroleum Engineering Conference","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"University of Tulsa","keywords":"Citation; Petroleum; Latin Americans; Zhàng; Engineering; Computer science; Library science; Operations research; China; Archaeology; Geography; Chemistry; Political science","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":[0.0005595886,0.0002185442,0.0004064258,0.000219448,0.00003891619,0.00005918515,0.0001250411,0.00006480926,0.000002716464],"category_scores_gemma":[0.0003116914,0.0001952841,0.00003797521,0.000357008,0.000108662,0.0001850922,0.00001999132,0.0002558581,1.794942e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005042758,"about_ca_system_score_gemma":0.00002250172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005874714,"about_ca_topic_score_gemma":0.000001671157,"domain_scores_codex":[0.9988605,0.00002616481,0.0004187872,0.0002422795,0.0002164287,0.0002358387],"domain_scores_gemma":[0.9994417,0.0001105001,0.0001200525,0.0001250998,0.0001310495,0.00007162445],"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":[0.00001274261,0.000009755266,0.008739926,0.0002604838,0.00002549408,1.582134e-7,0.0002422645,0.9483941,0.04017475,0.001942123,0.000009046954,0.0001891458],"study_design_scores_gemma":[0.0004086618,0.000101495,0.01072907,0.0001866685,0.00002161486,0.0000104653,0.0005534516,0.9795661,0.008084224,0.0000337791,0.0001077404,0.0001967125],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.882753,0.0004082911,0.1157915,0.00006581264,0.0002246343,0.0002599247,0.00000461427,0.00009382408,0.0003984548],"genre_scores_gemma":[0.988472,0.0001756428,0.01120021,0.000002208764,0.00003073268,0.00003510721,5.832399e-7,0.00003221496,0.00005132053],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.105719,"threshold_uncertainty_score":0.7963455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01213207208253052,"score_gpt":0.2146167784841318,"score_spread":0.2024847064016013,"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."}}