{"id":"W2141052671","doi":"10.2118/2004-074","title":"A Discovery Process Model for Use in Oil and Gas Supply Modelling","year":2004,"lang":"en","type":"article","venue":"Canadian International Petroleum Conference","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Energy Research Institute","funders":"","keywords":"Extrapolation; Consistency (knowledge bases); Process (computing); Petroleum; Fossil fuel; Computer science; Constraint (computer-aided design); Operations research; Petroleum engineering; Geology; Engineering; Paleontology","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":[0.002757946,0.0009445327,0.001288395,0.00150601,0.001082794,0.002389458,0.002713958,0.002883557,0.008845269],"category_scores_gemma":[0.008508925,0.0007800842,0.001965642,0.002250912,0.001465063,0.002304773,0.001485322,0.002329187,0.0008686238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003358279,"about_ca_system_score_gemma":0.00350628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04005967,"about_ca_topic_score_gemma":0.01999356,"domain_scores_codex":[0.9990137,0.0004356788,0.00006081484,0.0001480405,0.0002163738,0.0001253401],"domain_scores_gemma":[0.9952769,0.003704359,0.0002581354,0.0001177151,0.0005220978,0.0001207278],"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":[0.00001686451,0.0000148417,0.0002452601,0.00001952338,0.000009858104,0.00006243677,0.00003740054,0.9681941,0.0001162296,0.02903385,0.0001806268,0.002068932],"study_design_scores_gemma":[0.000006582878,0.000006160849,0.00002650743,0.000002749139,0.000003373855,0.000006056051,0.000006267975,0.9927437,0.00003291926,0.006775717,0.0003852996,0.0000045347],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02199123,0.0002395198,0.9648192,0.0007863749,0.00005080458,0.0001839347,0.000644664,0.0003087948,0.01097549],"genre_scores_gemma":[0.7714134,0.000856442,0.2050078,0.0001604235,0.00007964564,0.001260488,0.0009725573,0.0001162324,0.02013289],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04005967,"threshold_uncertainty_score":0.07965302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03563416239428543,"score_gpt":0.2609703489339593,"score_spread":0.2253361865396738,"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."}}