{"id":"W2973239394","doi":"10.1139/tcsme-2018-0293","title":"Performance and emissions of a diesel engine using Al–Fe–Mg–Si pistons contain up to 15.7% volume fractions of Fe-rich intermetallic compounds","year":2019,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Biodiesel Production and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Intermetallic; Piston (optics); Materials science; Combustion; Cylinder; Alloy; Metallurgy; Four-stroke engine; Volume (thermodynamics); Diesel engine; Diesel fuel; Combustion chamber; Thermodynamics; Automotive engineering; Mechanical engineering; Chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004123207,0.0007375741,0.0005557198,0.0006201087,0.0004253399,0.0004272411,0.0005703271,0.0005991543,0.0008169684],"category_scores_gemma":[0.0004743944,0.0003606402,0.0004189968,0.00051786,0.0002813648,0.0004590531,0.0003358494,0.0002730862,0.0003024268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005292264,"about_ca_system_score_gemma":0.0002912203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002831548,"about_ca_topic_score_gemma":0.004848703,"domain_scores_codex":[0.999705,0.00003034441,0.00002969745,0.00005948132,0.0001234898,0.00005197055],"domain_scores_gemma":[0.9997436,0.00009196946,0.00003564332,0.00001657152,0.00008064158,0.00003151039],"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":[0.001304757,0.0001489624,0.003052154,0.0001093788,0.00003288794,0.000154299,0.00006682531,0.001155387,0.9897367,0.00002848696,0.00002382916,0.004186382],"study_design_scores_gemma":[0.00002530223,0.001341855,0.01113704,0.000004466254,0.00003720223,0.00006859715,0.00004208488,0.002337696,0.984669,0.00001120277,0.0003143341,0.0000111601],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993561,0.00009718224,0.0002943745,0.000004995945,0.000002898024,0.000009456916,0.00004981589,0.00001611954,0.0001691125],"genre_scores_gemma":[0.997739,0.00016217,0.001193343,0.000007660627,0.000002363264,0.00001190886,0.0001507466,0.00001088579,0.0007218682],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002831548,"threshold_uncertainty_score":0.005630076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01264391863737564,"score_gpt":0.2149724944403088,"score_spread":0.2023285758029332,"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."}}