{"id":"W3007245563","doi":"10.35767/gscpgbull.67.4.217","title":"Utilizing sedimentary process-based models as training images for multipoint facies simulations","year":2019,"lang":"en","type":"article","venue":"Bulletin of Canadian Petroleum Geology","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Geology; Facies; Sedimentary rock; Process (computing); Petrology; Geomorphology; Geochemistry; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002457863,0.0007657293,0.0003947827,0.0007709196,0.000364751,0.0006523386,0.0007418904,0.001092773,0.003057176],"category_scores_gemma":[0.001100247,0.0006199317,0.0007067436,0.0006131927,0.0003362342,0.0006268542,0.0004483498,0.0006986088,0.0006019934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007459846,"about_ca_system_score_gemma":0.00121275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05396226,"about_ca_topic_score_gemma":0.06263065,"domain_scores_codex":[0.9999193,0.00001138381,0.000004257243,0.00002146172,0.0000266933,0.00001685421],"domain_scores_gemma":[0.9997572,0.0001077962,0.00002299329,0.00003419449,0.00005816601,0.00001965026],"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":[0.00002335356,0.00003100919,0.0007962881,0.000008871395,0.00001079024,0.00002337792,0.00001343613,0.981778,0.001348331,0.0002053437,0.0001164983,0.01564467],"study_design_scores_gemma":[0.000001597229,0.000003283578,0.0001001488,8.150501e-7,0.000001485646,0.000002173732,0.000002454675,0.9994485,0.0003308855,0.00006316759,0.00004437199,0.000001095542],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4018116,0.0001472511,0.5863053,0.0002378904,0.00007389698,0.0001482058,0.0006052793,0.003903252,0.006767318],"genre_scores_gemma":[0.9280065,0.00009068704,0.06926616,0.00003970592,0.00001067682,0.00005945281,0.0004286569,0.0001309106,0.001967252],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05396226,"threshold_uncertainty_score":0.1072963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01855527258242184,"score_gpt":0.2240188909242286,"score_spread":0.2054636183418068,"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."}}