{"id":"W2088153935","doi":"10.2118/05-03-01","title":"Simulating the Spatial Distribution of Undiscovered Petroleum Accumulations","year":2005,"lang":"en","type":"article","venue":"Journal of Canadian Petroleum Technology","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Geological Survey of Canada","funders":"University of Toronto; Norges Teknisk-Naturvitenskapelige Universitet","keywords":"Petroleum; Spatial analysis; Geology; Spatial distribution; Stochastic modelling; Structural basin; Covariance; Probability distribution; Statistics; Mathematics; Geomorphology; Paleontology; Remote sensing","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001284315,0.0002998035,0.000401032,0.0008107369,0.0003779522,0.0006752284,0.001306961,0.0006453542,0.0008816007],"category_scores_gemma":[0.004843487,0.0003562686,0.0004995236,0.001103079,0.0009809433,0.0006439059,0.0005325076,0.0005413262,0.0001045616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003307598,"about_ca_system_score_gemma":0.002485352,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2676913,"about_ca_topic_score_gemma":0.1843778,"domain_scores_codex":[0.9996817,0.00009771723,0.00001712485,0.00007124405,0.00006624286,0.00006588753],"domain_scores_gemma":[0.9969985,0.001913272,0.0003178265,0.0002450447,0.0003809304,0.0001444445],"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":[0.0000296929,0.00001446215,0.01042318,0.000006318493,0.00001173584,0.00002825456,0.00002479508,0.9872596,0.0002376049,0.0009608936,0.00004337076,0.000960057],"study_design_scores_gemma":[0.000006389803,0.00001012195,0.001941898,0.000002434927,0.000003814172,0.000005647899,0.00001495486,0.9972313,0.0002912051,0.0004263789,0.00006122869,0.000004723345],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9801037,0.00002544338,0.018406,0.00008093712,0.000003998354,0.00002879642,0.0004623096,0.00009861717,0.0007901503],"genre_scores_gemma":[0.9952489,0.00001851152,0.00411618,0.000007950634,0.000001432177,0.00001683127,0.0003381924,0.000005657745,0.0002464237],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7323087,"threshold_uncertainty_score":0.5322664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006367836911859658,"score_gpt":0.2072179301504046,"score_spread":0.2008500932385449,"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."}}