{"id":"W4392726839","doi":"10.2118/218063-ms","title":"Phase Behavior Analysis of Multicomponent Diluent and Bitumen Mixtures: Applications in In-Situ Extraction and Pipeline Transportation","year":2024,"lang":"en","type":"article","venue":"","topic":"NMR spectroscopy and applications","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Diluent; Extraction (chemistry); Asphalt; In situ; Pipeline (software); Petroleum engineering; Materials science; Environmental science; Process engineering; Chemistry; Geology; Chromatography; Engineering; Composite material; Organic chemistry; Mechanical 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003769213,0.0004368998,0.0003211109,0.0006211702,0.0002576954,0.0003789535,0.0002098033,0.0003010819,0.001010929],"category_scores_gemma":[0.0004331347,0.0001372236,0.0001863371,0.0005578187,0.0002816428,0.0004895318,0.0002698319,0.0003628235,0.0002769999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003379082,"about_ca_system_score_gemma":0.0003031201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007728931,"about_ca_topic_score_gemma":0.001922765,"domain_scores_codex":[0.9997723,0.00003992326,0.0000147535,0.00004729737,0.00009942288,0.0000263606],"domain_scores_gemma":[0.9997864,0.00007201341,0.00005717243,0.00001508669,0.0000550304,0.00001425997],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003968068,0.00001441595,0.0003990127,0.00006296109,0.000005028544,0.00002359666,0.00001978068,0.0002077276,0.9962081,0.0000518444,0.00001610689,0.002951819],"study_design_scores_gemma":[0.000001546532,0.0000410293,0.0008254068,0.000003959113,0.000007396901,0.0000307375,0.00002869012,0.001173869,0.9972686,0.00002585707,0.0005885702,0.000004457974],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9539336,0.002765986,0.04068197,0.0001149905,0.00004050881,0.00007661343,0.0004033075,0.0002269923,0.001756011],"genre_scores_gemma":[0.967362,0.002238212,0.02779373,0.00006695672,0.00001796913,0.00007394419,0.0002680592,0.00009561063,0.002083493],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001010929,"threshold_uncertainty_score":0.003381908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009870807793628127,"score_gpt":0.36369903283196,"score_spread":0.3538282250383319,"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."}}