{"id":"W4247745404","doi":"10.2118/137035-ms","title":"Reserves Management: A Concerted Effort","year":2010,"lang":"en","type":"article","venue":"Canadian Unconventional Resources and International Petroleum Conference","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"ConocoPhillips (Canada)","funders":"ConocoPhillips","keywords":"Documentation; Workflow; Production (economics); Function (biology); Meaning (existential); Risk analysis (engineering); Value (mathematics); Business; Natural resource economics; Computer science; Environmental economics; Economics; Microeconomics; Management","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":[0.07359383,0.001511971,0.001124476,0.007105731,0.004352355,0.01098265,0.005154334,0.003784697,0.00848493],"category_scores_gemma":[0.0653145,0.001167726,0.001240662,0.002591372,0.002791225,0.01045665,0.01261203,0.006238258,0.004396463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004108449,"about_ca_system_score_gemma":0.02424331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004711692,"about_ca_topic_score_gemma":0.004946817,"domain_scores_codex":[0.9548264,0.01910701,0.005671235,0.004802924,0.01334126,0.002251194],"domain_scores_gemma":[0.8868427,0.01751993,0.007894657,0.03146342,0.04517227,0.01110699],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001254455,0.0008126591,0.00696424,0.00061292,0.000173473,0.0004736114,0.003603103,0.01032177,0.008489284,0.009316579,0.05945071,0.8996562],"study_design_scores_gemma":[0.0002315674,0.001496669,0.02857411,0.003757349,0.0002769602,0.003245397,0.01445217,0.05338115,0.01879727,0.04735929,0.827591,0.0008370703],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06849122,0.007865625,0.6982715,0.1622613,0.00452918,0.003144484,0.0002813215,0.01215473,0.04300065],"genre_scores_gemma":[0.25823,0.00410383,0.6899558,0.005970106,0.003454,0.0008718642,0.0007008252,0.001884872,0.03482873],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07359383,"threshold_uncertainty_score":0.3892061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01727193126445803,"score_gpt":0.2483247585034049,"score_spread":0.2310528272389469,"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."}}