{"id":"W4310496990","doi":"10.1016/j.petrol.2022.111309","title":"Pore throat heterogeneity of different lithofacies and diagenetic effects in gravelly braided river deposits: Implications for understanding the formation process of high-quality reservoirs","year":2022,"lang":"en","type":"article","venue":"Geoenergy Science and Engineering","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Diagenesis; Geology; Quality (philosophy); Geochemistry; Process (computing); Petrology","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":[0.0003537218,0.00008474822,0.0001580142,0.0001883969,0.0001798469,0.00002275381,0.0001459282,0.00001803896,3.813421e-7],"category_scores_gemma":[0.0000576878,0.00006660126,0.00002580949,0.0005888442,0.0001057356,0.000190365,0.00006652506,0.00005747723,1.042207e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007357179,"about_ca_system_score_gemma":0.00001373266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003946799,"about_ca_topic_score_gemma":0.0001162945,"domain_scores_codex":[0.9992865,0.0000196436,0.0002183643,0.000127361,0.0001884281,0.0001597555],"domain_scores_gemma":[0.9996462,0.00009557058,0.00004481532,0.0001328798,0.00004016562,0.00004032884],"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":[0.000004071163,0.00001009942,0.002376252,0.0002345796,0.00001511941,1.401175e-7,0.001846102,0.9539028,0.03456676,0.006787822,0.00000130479,0.0002549946],"study_design_scores_gemma":[0.0004556351,0.00007464083,0.1788938,0.00004623219,0.00003049991,0.000004885862,0.001674657,0.7528569,0.06056133,0.005197485,0.000008253611,0.0001957795],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9070325,0.0002215906,0.09242781,0.00009946029,0.00003952202,0.000141796,0.000007875234,0.000019734,0.000009672292],"genre_scores_gemma":[0.9996439,0.00007949057,0.0001554229,0.000007893927,0.000004816668,0.00009304146,0.000007643253,0.000006522821,0.0000012494],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2010459,"threshold_uncertainty_score":0.2715921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02286978064790889,"score_gpt":0.2489372812364689,"score_spread":0.22606750058856,"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."}}