{"id":"W2245580695","doi":"10.1306/1063811ca53230","title":"Representative Input Parameters for Geostatistical Simulation","year":2006,"lang":"en","type":"book-chapter","venue":"American Association of Petroleum Geologists eBooks","topic":"Soil Geostatistics and Mapping","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Geology","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":[0.003607041,0.0007621835,0.0007592975,0.001331588,0.0004804749,0.002741197,0.001622558,0.001160208,0.009193177],"category_scores_gemma":[0.01921052,0.0006463692,0.0006017553,0.001625804,0.0004535805,0.002111055,0.00114442,0.001495552,0.00307475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001118058,"about_ca_system_score_gemma":0.001371041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001356057,"about_ca_topic_score_gemma":0.00159654,"domain_scores_codex":[0.9974198,0.001093019,0.000124852,0.0001659902,0.00113034,0.00006594736],"domain_scores_gemma":[0.993479,0.003589059,0.0001901555,0.0009007794,0.001755837,0.00008505247],"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":[0.00008661194,0.00009425293,0.00177846,0.0003627723,0.00005829526,0.0001628809,0.0002121644,0.6802233,0.004960896,0.1489318,0.0179092,0.1452193],"study_design_scores_gemma":[0.00002220342,0.00002782549,0.0002762642,0.0001384906,0.00002311072,0.00006178785,0.00005311623,0.898379,0.007447006,0.06631172,0.02723104,0.00002843237],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005252029,0.000268238,0.9747626,0.0002300911,0.0000843014,0.0001352704,0.0005314442,0.002297378,0.01643869],"genre_scores_gemma":[0.1988421,0.0009364371,0.7893839,0.0002286053,0.00007907189,0.0008076871,0.002077339,0.001596713,0.006048103],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009193177,"threshold_uncertainty_score":0.03075427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01600870247305082,"score_gpt":0.2655953623129801,"score_spread":0.2495866598399293,"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."}}