{"id":"W4400233295","doi":"10.1109/iscas58744.2024.10558032","title":"A Precise and Reliable Engine Knock Detection Utilizing Meta Classifier","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Combustion Engine Technologies","field":"Chemical Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Computer science; Classifier (UML); Artificial intelligence","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":[0.00007059949,0.0001508935,0.000166875,0.0001421288,0.00003299259,0.00003855701,0.0000817571,0.0001118691,0.0001733743],"category_scores_gemma":[0.0001300334,0.000122486,0.00006354193,0.0003275729,0.00002515016,0.000230734,0.00008128304,0.0002969144,0.00004621781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000053007,"about_ca_system_score_gemma":0.000005924429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005713579,"about_ca_topic_score_gemma":0.000002099893,"domain_scores_codex":[0.9992777,0.000003432113,0.000153165,0.0002711643,0.00009429183,0.0002002474],"domain_scores_gemma":[0.9996153,0.00009894378,0.00001123437,0.0002085341,0.00002155488,0.00004444299],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002129566,0.00003364156,0.000009220659,0.000476609,0.000834374,0.00003913543,0.0001102413,0.09589558,0.5171512,0.04887394,0.001317156,0.3352376],"study_design_scores_gemma":[0.00009281064,0.00002063411,0.00000560492,0.00003242468,0.0001501667,0.00002439888,0.00006993666,0.6522081,0.2874328,0.002460417,0.05732708,0.0001756135],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01071819,0.005517038,0.9653824,0.0003901093,0.0002875316,0.0001496836,0.000002848819,0.006103938,0.01144824],"genre_scores_gemma":[0.9725792,0.0001915145,0.02007846,0.00001184178,0.00004013591,0.00005701553,0.000001446957,0.00003590915,0.007004489],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.961861,"threshold_uncertainty_score":0.4994836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03016647584501075,"score_gpt":0.2567602570100653,"score_spread":0.2265937811650545,"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."}}