{"id":"W4411506568","doi":"10.1016/j.fuel.2025.136037","title":"Phase behavior and composition distribution of shale oil in nanopore-bulk multiscale systems","year":2025,"lang":"en","type":"article","venue":"Fuel","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Fundamental Research Funds for the Central Universities; SINOPEC Petroleum Exploration and Production Research Institute; National Natural Science Foundation of China","keywords":"Nanopore; Oil shale; Phase (matter); Composition (language); Distribution (mathematics); Materials science; Chemical engineering; Mineralogy; Geology; Chemistry; Nanotechnology; Mathematics","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":[0.00005299172,0.00005523439,0.0001228087,0.00008052004,0.00001587092,0.00001295551,0.00003341998,0.00004771878,0.000005342147],"category_scores_gemma":[0.000004106896,0.00005460839,0.00002348349,0.0001988075,0.00001811156,0.00005946158,0.000009989685,0.00004916684,0.000002449669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003333962,"about_ca_system_score_gemma":0.000004864321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007107316,"about_ca_topic_score_gemma":0.00004124091,"domain_scores_codex":[0.9996041,0.00001591263,0.0001760937,0.00007283314,0.00006156934,0.00006951159],"domain_scores_gemma":[0.9998492,0.000009899061,0.00001666936,0.00008087845,0.00002010138,0.00002326179],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001491707,0.003203405,0.03802725,0.005426585,0.0003465327,0.00008721134,0.002609462,0.2264748,0.6811207,0.003894988,0.002424813,0.03623507],"study_design_scores_gemma":[0.002831015,0.0000436789,0.006449202,0.0001956865,0.00009919969,0.000002753866,0.0002658122,0.9746078,0.0141183,0.00003052282,0.001176155,0.0001798464],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945518,0.0009121125,0.003289517,0.00003085586,0.000114614,0.00005682186,0.0000538481,0.00004440469,0.0009460647],"genre_scores_gemma":[0.9994058,0.000132502,0.00002252267,0.000002737283,0.000009467095,0.00003260416,0.0002064678,0.000004114391,0.0001837972],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.748133,"threshold_uncertainty_score":0.2226865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008590243635192035,"score_gpt":0.2498079775998252,"score_spread":0.2412177339646331,"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."}}