{"id":"W2337727998","doi":"10.2118/179996-ms","title":"Unconventional Risk and Uncertainty: Show Me What Success Looks Like","year":2016,"lang":"en","type":"article","venue":"","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Apache (Canada)","funders":"","keywords":"Production (economics); Computer science; Risk analysis (engineering); Volume (thermodynamics); Frequentist inference; Bayesian probability; Econometrics; Risk management; Operations research; Bayesian inference; Mathematics; Economics; Artificial intelligence; Business; Microeconomics","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":[0.00677258,0.0008793519,0.0006317978,0.002584535,0.001748938,0.00925469,0.001145422,0.002267504,0.01144665],"category_scores_gemma":[0.04416666,0.0003669361,0.000733076,0.002697291,0.004012177,0.008761433,0.00327301,0.002749704,0.001717717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002349841,"about_ca_system_score_gemma":0.001043458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003202464,"about_ca_topic_score_gemma":0.00321999,"domain_scores_codex":[0.9946674,0.002940234,0.0002217098,0.0006195394,0.001257832,0.0002932464],"domain_scores_gemma":[0.9756315,0.01622701,0.002558078,0.001706674,0.002780304,0.001096453],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001041255,0.0002346573,0.08684886,0.0007947657,0.0003992381,0.001943918,0.02365307,0.03528497,0.003925032,0.4635183,0.04784286,0.3345132],"study_design_scores_gemma":[0.00003214071,0.0003195982,0.03245393,0.000831094,0.0001807481,0.001195305,0.0147749,0.07617742,0.003811887,0.8091347,0.06068384,0.0004044749],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3153196,0.004891868,0.5078983,0.04334487,0.000975786,0.000247859,0.002463566,0.002109246,0.1227489],"genre_scores_gemma":[0.9458503,0.0007297982,0.04681246,0.0008443714,0.0002016982,0.0001196225,0.0003094088,0.0002503674,0.004881991],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01144665,"threshold_uncertainty_score":0.03829288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01259013757470397,"score_gpt":0.2495052759913569,"score_spread":0.2369151384166529,"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."}}