{"id":"W2006784833","doi":"10.2298/hemind0206256k","title":"Hydrogen as a spark ignition engine fuel","year":2002,"lang":"en","type":"article","venue":"Hemijska industrija","topic":"Advanced Combustion Engine Technologies","field":"Chemical Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"SPARK (programming language); Spark-ignition engine; Ignition system; Hydrogen; Limiting; Automotive engineering; Hydrogen vehicle; Hydrogen fuel; Hydrogen fuel enhancement; Ignition timing; Hydrogen technologies; Alternative fuels; Environmental science; Computer science; Nuclear engineering; Internal combustion engine; Engineering; Hydrogen economy; Mechanical engineering; Chemistry; Aerospace engineering; Diesel fuel","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00006000827,0.0002678729,0.0002318109,0.0001695256,0.0000550976,0.00001710036,0.0003035856,0.000393835,0.001826472],"category_scores_gemma":[0.0004782752,0.0002844945,0.00007936649,0.0005862284,0.00005773203,0.0002036046,0.00009882418,0.0007443088,0.001307465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001578911,"about_ca_system_score_gemma":0.000007650694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006391312,"about_ca_topic_score_gemma":3.69809e-7,"domain_scores_codex":[0.9986396,0.000008882839,0.0002895721,0.0003355231,0.0002576408,0.0004688235],"domain_scores_gemma":[0.9991947,0.00007663244,0.00007189398,0.0004720306,0.00005706502,0.0001276678],"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":[0.00006583858,0.0009695321,0.001188978,0.0003458234,0.0004346332,0.0006096304,0.0007386755,0.2479317,0.3224563,0.01878044,0.1114126,0.2950659],"study_design_scores_gemma":[0.001810472,0.00014474,0.00004532963,0.0001720234,0.0000659211,0.0002514306,0.0002987739,0.1265118,0.6982237,0.004602818,0.1666801,0.001192923],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.738447,0.004001769,0.05903157,0.006509278,0.0008298479,0.00117229,0.00008261343,0.01583703,0.1740886],"genre_scores_gemma":[0.9915124,0.00009770772,0.002352069,0.0001233883,0.0001900034,0.00006881314,0.00002388781,0.00005910756,0.005572659],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3757674,"threshold_uncertainty_score":0.9999607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03306045248599336,"score_gpt":0.2293281266556716,"score_spread":0.1962676741696783,"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."}}