{"id":"W4249565454","doi":"10.2523/86606-ms","title":"Forecasting Energy Demand, Emissions and Discharges for the Petroleum Industry - Examples and Experiences","year":2004,"lang":"en","type":"article","venue":"Proceedings of SPE International Conference on Health, Safety, and Environment in Oil and Gas Exploration and Production","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Citation; Exhibition; Library science; Operations research; Engineering; Computer science; Archaeology; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002122598,0.0006988831,0.0004762468,0.0007100235,0.0004613422,0.001589649,0.001014939,0.001671956,0.00181223],"category_scores_gemma":[0.003982374,0.0002930813,0.0005976939,0.002378935,0.0004377434,0.003155795,0.00152689,0.001307389,0.0007573919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007532441,"about_ca_system_score_gemma":0.0005649802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02124536,"about_ca_topic_score_gemma":0.02357904,"domain_scores_codex":[0.9987718,0.0002814048,0.00006491004,0.0001352095,0.0006506477,0.0000959268],"domain_scores_gemma":[0.9981924,0.00114488,0.00008705557,0.0001053302,0.0003242964,0.0001460908],"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":[0.0005776699,0.0007181385,0.03268472,0.001672747,0.0002734771,0.002646033,0.004144292,0.113248,0.003356211,0.007903884,0.1650093,0.6677654],"study_design_scores_gemma":[0.0003492472,0.001963489,0.08320429,0.002074666,0.000372946,0.002939575,0.03375526,0.2067987,0.01647094,0.03017954,0.6212426,0.0006487215],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6314067,0.06937349,0.02637712,0.057962,0.001488924,0.0002391269,0.009490444,0.001497434,0.2021647],"genre_scores_gemma":[0.8653222,0.07206411,0.02704608,0.001016709,0.0007969436,0.0000689545,0.00576823,0.0001826282,0.02773415],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02124536,"threshold_uncertainty_score":0.04224342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06747936212737775,"score_gpt":0.2817981939539345,"score_spread":0.2143188318265568,"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."}}