{"id":"W2601263191","doi":"10.1021/acs.energyfuels.6b03091","title":"Novel Experimental Approach to Studying the Thermal Stability and Coking Propensity of Jet Fuel","year":2017,"lang":"en","type":"article","venue":"Energy & Fuels","topic":"Heat transfer and supercritical fluids","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; BioFuelNet Canada; Pratt & Whitney","keywords":"Nozzle; Pressure drop; Coolant; Nuclear engineering; Materials science; Thermal; Drop (telecommunication); Injector; Jet fuel; Stack (abstract data type); Repeatability; Mechanics; Volumetric flow rate; Fuel injection; Mechanical engineering; Chemistry; Thermodynamics; Aerospace engineering; Engineering; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004911255,0.0006387876,0.0003649748,0.0006029256,0.0005593203,0.0004050448,0.0008029447,0.0006195165,0.001614555],"category_scores_gemma":[0.0007907791,0.0002889608,0.0002337274,0.0004647694,0.000672119,0.0006118142,0.0005309278,0.001051098,0.0002483591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004123981,"about_ca_system_score_gemma":0.0005263546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004454156,"about_ca_topic_score_gemma":0.0006507421,"domain_scores_codex":[0.9994336,0.00004559961,0.00004120293,0.0001611305,0.0002614053,0.00005707442],"domain_scores_gemma":[0.9992065,0.0001878894,0.0001601283,0.0001678169,0.0002201547,0.00005764648],"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":[0.00002924668,0.00006093108,0.0001523067,0.00003550301,0.000002115983,0.00001839871,0.00002224586,0.0001030489,0.9983854,0.0001375364,0.00001614424,0.001037089],"study_design_scores_gemma":[0.000008071638,0.0003668714,0.0008939143,0.000002754746,0.00000521159,0.00006381377,0.00002096169,0.00225722,0.9957117,0.00006016766,0.0006015263,0.000007858205],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8612804,0.000754926,0.1338393,0.00009185573,0.0002119003,0.0004680371,0.0005191639,0.0004781612,0.002356185],"genre_scores_gemma":[0.9062119,0.0007024067,0.09033559,0.00006313539,0.00008477408,0.0005956646,0.0003322054,0.00006151426,0.001612754],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001614555,"threshold_uncertainty_score":0.005401194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05392027564879352,"score_gpt":0.2495719766637466,"score_spread":0.1956517010149531,"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."}}