{"id":"W4403267623","doi":"10.1016/j.psep.2024.09.125","title":"Experimental study on effect of use of oxyhydrogen blends with traditional fuels in spark engines for better performance","year":2024,"lang":"en","type":"article","venue":"Process Safety and Environmental Protection","topic":"Advanced Combustion Engine Technologies","field":"Chemical Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ontario Institute of Technology","funders":"","keywords":"SPARK (programming language); Automotive engineering; Nuclear engineering; Materials science; Engineering; Forensic engineering; Computer science","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":[0.00006830097,0.0001286212,0.00015077,0.00009538285,0.00002582134,0.000004155125,0.00003970957,0.00005323716,0.000007369108],"category_scores_gemma":[0.000009285661,0.0001041861,0.00002302914,0.00009777086,0.0000542035,0.0002385195,0.0000141423,0.0001429436,5.060876e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006517761,"about_ca_system_score_gemma":0.000002713173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002225839,"about_ca_topic_score_gemma":1.777869e-7,"domain_scores_codex":[0.9994053,0.000008259234,0.0001681404,0.0001898104,0.0001315387,0.00009693116],"domain_scores_gemma":[0.9998229,0.00005676489,0.00003409334,0.00006990186,0.000002487852,0.00001388713],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002220125,0.0005100412,0.003376244,0.001425903,0.0000967573,0.000002947658,0.0007238485,0.727438,0.2482954,0.00009470707,6.167027e-7,0.01581536],"study_design_scores_gemma":[0.0008903633,0.002737022,0.001858382,0.0001885913,0.00001922447,0.000008692834,0.0002917098,0.1572128,0.8365811,0.00004990187,0.00002699606,0.0001352169],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9648984,0.0001105974,0.03416214,0.00001577907,0.00002295242,0.0006746692,0.00002450204,0.00007515299,0.00001582369],"genre_scores_gemma":[0.9993408,0.00001348248,0.000194568,0.000001592595,0.00001472494,0.0003922024,0.00001370371,0.00001834811,0.00001054594],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5882857,"threshold_uncertainty_score":0.4248586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01768562994242686,"score_gpt":0.2215619706432696,"score_spread":0.2038763407008427,"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."}}