{"id":"W2918626907","doi":"","title":"Principles of data spacing and uncertainty in geomodeling","year":2018,"lang":"en","type":"article","venue":"Bulletin of Canadian Petroleum Geology","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Energy; University of Alberta","funders":"","keywords":"Resource (disambiguation); Data collection; Computer science; Operations research; Oil shale; Data mining; Risk analysis (engineering); Geology; Engineering; Statistics; Mathematics; Business","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004817446,0.00008983519,0.0002240169,0.0005752739,0.00001753474,0.000003963075,0.0002144012,0.00009256681,0.0001572182],"category_scores_gemma":[0.0001734368,0.0001007864,0.00001366281,0.0001467008,0.00009652269,0.00002024749,0.00005269135,0.0001059875,0.000003973223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002941571,"about_ca_system_score_gemma":0.00005249251,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.07889558,"about_ca_topic_score_gemma":0.1290052,"domain_scores_codex":[0.9992091,0.00003713866,0.0002878491,0.0001536015,0.00006294867,0.0002493463],"domain_scores_gemma":[0.9993479,0.000115772,0.0000316904,0.0003523308,0.00004305317,0.000109309],"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":[0.000006128922,0.000001874619,0.004793922,0.00005761963,0.00001302806,0.000003483096,0.00009064599,0.9927043,0.0001869506,0.0009091438,0.0002777462,0.0009551246],"study_design_scores_gemma":[0.0002714552,0.00002681966,0.003995557,0.00003043769,0.000004102569,0.000005758001,0.00003578846,0.7865035,0.0001153989,0.00004249047,0.208883,0.0000856511],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9777003,0.000617999,0.006886634,0.0005467376,0.0001379068,0.0000550467,0.0000322857,0.00003014207,0.01399296],"genre_scores_gemma":[0.9804252,0.00009870632,0.01920475,0.00002093289,0.00005246345,0.000001834073,0.0000145108,0.00001466574,0.0001669725],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2086053,"threshold_uncertainty_score":0.9272381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03781464830917643,"score_gpt":0.2569910639414722,"score_spread":0.2191764156322958,"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."}}