{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001975215,0.0002950598,0.0003471128,0.0005398333,0.0001923658,0.0005358574,0.0003898697,0.0004057078,0.001466021],"category_scores_gemma":[0.0001047315,0.0001075838,0.000129038,0.000489268,0.0001932681,0.0006215601,0.0002172919,0.0002266117,0.001360049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002922342,"about_ca_system_score_gemma":0.000287554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007120143,"about_ca_topic_score_gemma":0.00116726,"domain_scores_codex":[0.9998348,0.00001588296,0.000009938753,0.00002213863,0.000105874,0.0000113855],"domain_scores_gemma":[0.9999543,0.00001147291,0.000007012984,0.000002656784,0.00001881271,0.000005611035],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002281725,0.0001496026,0.0007658362,0.007071259,0.00005272765,0.0007729049,0.00008463447,0.002258231,0.1919208,0.02809613,0.01311921,0.7554804],"study_design_scores_gemma":[0.00001291155,0.0005765582,0.0009931222,0.0003929435,0.00006950618,0.001493674,0.0001031393,0.001132644,0.1354104,0.004096842,0.8556896,0.00002871766],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.02463474,0.9013824,0.01036847,0.000759015,0.001891578,0.00005226316,0.0001652062,0.0001268042,0.06061952],"genre_scores_gemma":[0.1190616,0.8116637,0.00587658,0.0003783963,0.0006239369,0.00002920596,0.0002645252,0.00002778085,0.06207424],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001466021,"threshold_uncertainty_score":0.004904389,"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."}}