{"id":"W4385967090","doi":"10.1190/int-2023-0009.1","title":"A machine-learning workflow to integrate high-resolution core-based facies into basin-scale stratigraphic models for the Wolfcamp and Third Bone Spring Sand, Delaware Basin","year":2023,"lang":"en","type":"article","venue":"Interpretation","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"BP (Canada)","funders":"","keywords":"Facies; Geology; Petrology; Sedimentary depositional environment; Reservoir modeling; Well logging; Structural basin; Geomorphology; Geophysics; Petroleum 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":[0.0003735769,0.0002016239,0.0002270815,0.0003662677,0.0002389976,0.0001706259,0.0001305813,0.00009171524,0.000008986818],"category_scores_gemma":[0.00008950854,0.0001588177,0.0001253801,0.0007089865,0.00004179682,0.00027502,0.00002744963,0.0002170316,0.00001681445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006211931,"about_ca_system_score_gemma":0.00001709771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004660574,"about_ca_topic_score_gemma":0.002390877,"domain_scores_codex":[0.9989197,0.0000617835,0.0003250517,0.0002475572,0.000208869,0.0002370248],"domain_scores_gemma":[0.9993396,0.0002412113,0.00005462685,0.0001851328,0.00009157961,0.00008786585],"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":[0.00007776869,0.000006292885,0.0006251429,0.00006364178,0.0000640139,0.000001283279,0.002725229,0.9815197,0.003654964,0.0002249071,0.0001322091,0.01090484],"study_design_scores_gemma":[0.0002923345,0.00005791786,0.0006270604,0.0001343108,0.0000589492,5.671629e-7,0.0005829276,0.9945028,0.001510267,0.00165506,0.0003940639,0.0001836927],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2792476,0.00037212,0.7185366,0.0008610705,0.0001629148,0.0003283417,0.00001787884,0.0003932746,0.00008018759],"genre_scores_gemma":[0.9952866,0.0001653169,0.003939892,0.0001455997,0.00003883937,0.0002162163,0.0001013378,0.00003663563,0.00006958308],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.716039,"threshold_uncertainty_score":0.6476396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01525021818723267,"score_gpt":0.2325968141262521,"score_spread":0.2173465959390194,"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."}}