{"id":"W2183814925","doi":"","title":"Alberta Carbonates - the Third Trillion","year":2008,"lang":"en","type":"article","venue":"19th World Petroleum Congress","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Energy","funders":"","keywords":"Exploit; Petroleum industry; Carbonate; General partnership; Resource (disambiguation); Enhanced oil recovery; Government (linguistics); Geology; Petroleum engineering; Business; Natural resource economics; Computer science; Finance; Economics; Paleontology; Computer security; Metallurgy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001320739,0.0002278582,0.0002792039,0.0002019246,0.0002593168,0.00004803924,0.0003925913,0.00006430795,0.0002581343],"category_scores_gemma":[0.00003172764,0.0001492471,0.0001824398,0.0004082287,0.0001185682,0.00009624063,0.00004709824,0.0003649951,0.0002047546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004725429,"about_ca_system_score_gemma":0.00001704508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001195072,"about_ca_topic_score_gemma":0.003013702,"domain_scores_codex":[0.9988048,0.000049807,0.0002575004,0.0002110575,0.0002845382,0.0003922943],"domain_scores_gemma":[0.999053,0.0002582524,0.00004156158,0.0005032046,0.00003175322,0.0001122195],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003104945,0.00004742383,0.01574751,0.00006963273,0.0005728611,0.00009470533,0.0008410083,0.8812234,0.0002641719,0.0001183089,0.09936155,0.001628357],"study_design_scores_gemma":[0.0004631618,0.00001447345,0.005593582,0.00004231543,0.00007860168,0.00003985199,0.00004586542,0.1753695,0.002729183,0.00003520284,0.8152303,0.0003579064],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6709259,0.005359523,0.0003025906,0.003421183,0.002523216,0.0002621555,0.00001304561,0.0007593526,0.316433],"genre_scores_gemma":[0.9271457,0.0003021655,0.00002182554,0.0001174526,0.0002769869,0.00004215115,0.00001198003,0.00003729553,0.07204446],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7158688,"threshold_uncertainty_score":0.6086121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008564556406099032,"score_gpt":0.2034053486762035,"score_spread":0.1948407922701045,"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."}}