{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000208671,0.00009230063,0.000225628,0.00001388064,0.00004750843,0.000007063005,0.0006468703,0.00009290068,0.0003194015],"category_scores_gemma":[0.0002020914,0.00006116517,0.0001012296,0.0001264417,0.0002677622,0.00003684832,0.0001353228,0.00009677863,0.00001521063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009149614,"about_ca_system_score_gemma":0.0000574827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002217531,"about_ca_topic_score_gemma":0.00000518907,"domain_scores_codex":[0.9990615,0.00007100619,0.0003114994,0.0001833335,0.0001767867,0.000195914],"domain_scores_gemma":[0.9991121,0.0001606126,0.0001215899,0.0005193412,0.00005386828,0.00003251175],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001077131,0.0007598877,0.001887667,0.0005408574,0.00005375567,0.000005229798,0.0006912094,0.3108827,0.007057294,0.6734492,0.0006202975,0.003944235],"study_design_scores_gemma":[0.0002240653,0.00004500436,0.001195855,0.00002534152,0.00000834971,0.000005340909,0.000007064966,0.8004907,0.008574585,0.1891488,0.0002134222,0.00006145552],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3434642,0.000009767768,0.6394547,0.003483668,0.00002736932,0.00009125393,0.00001158437,0.00002648144,0.013431],"genre_scores_gemma":[0.9961245,6.049325e-7,0.002485049,0.00007217367,0.00001006875,0.000007243133,0.000005095006,0.00000126883,0.001293996],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6526603,"threshold_uncertainty_score":0.3497223,"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."}}