{"id":"W198118184","doi":"10.1023/a:1007594423172","title":"A Pool-Based Model of the Spatial Distribution of Undiscovered Petroleum Resoufrces","year":2000,"lang":"en","type":"article","venue":"Mathematical Geology","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"Geological Survey of Canada","funders":"","keywords":"Parameterized complexity; Geology; Hydrogeology; Sampling (signal processing); Independence (probability theory); Entropy (arrow of time); Mathematics; Computer science; Statistics; Algorithm; Geotechnical engineering","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":[0.001273786,0.0006961398,0.001438272,0.001255996,0.0006252436,0.002943419,0.005118744,0.003181839,0.006811666],"category_scores_gemma":[0.005753931,0.001015414,0.001021347,0.002479302,0.001725867,0.004030251,0.001680327,0.001378424,0.0008474535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002377347,"about_ca_system_score_gemma":0.002078886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03705253,"about_ca_topic_score_gemma":0.01853141,"domain_scores_codex":[0.9995937,0.0001189602,0.00002231646,0.0001453095,0.00005010946,0.00006967289],"domain_scores_gemma":[0.9979357,0.001251773,0.0002455763,0.0001037161,0.0003100792,0.0001531853],"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":[0.00003389058,0.0000135838,0.0007326096,0.00002402707,0.00002127583,0.00007116522,0.00003651078,0.9612508,0.0002145328,0.03525468,0.0005765084,0.001770355],"study_design_scores_gemma":[0.000008891261,0.000005472938,0.00009649556,0.000002865418,0.000006975551,0.000009421166,0.000007529196,0.9914047,0.00003431997,0.008193566,0.0002244723,0.000005245719],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2649896,0.001064401,0.7074288,0.004007709,0.0001616082,0.00009844142,0.004818695,0.0005819568,0.0168487],"genre_scores_gemma":[0.9516029,0.0006991746,0.02459606,0.0001764826,0.0000867499,0.0001542705,0.001225187,0.0001126557,0.02134654],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03705253,"threshold_uncertainty_score":0.07367367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01332358443734856,"score_gpt":0.2133816779662505,"score_spread":0.2000580935289019,"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."}}