{"id":"W3216753264","doi":"10.4271/03-15-04-0027","title":"Fault Detection and Diagnosis of Engine Spark Plugs Using Deep Learning Techniques","year":2021,"lang":"en","type":"article","venue":"SAE International Journal of Engines","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"SPARK (programming language); Fault (geology); Automotive engineering; Fault detection and isolation; Computer science; Artificial intelligence; Engineering; Geology; Seismology","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":[0.0002207932,0.000147942,0.0002516613,0.0003677724,0.00002220872,0.00004165837,0.0001724191,0.00008430371,0.00004998772],"category_scores_gemma":[0.0004333165,0.0001487599,0.0001065436,0.0001614252,0.00002633779,0.0002795603,0.00005123873,0.0002988978,4.569632e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008944065,"about_ca_system_score_gemma":0.00001686828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001774649,"about_ca_topic_score_gemma":0.00003008327,"domain_scores_codex":[0.998968,0.00003374296,0.0004742404,0.00009674457,0.0003092117,0.0001180656],"domain_scores_gemma":[0.9989278,0.0001802468,0.0001732058,0.00007674468,0.0005865067,0.00005549247],"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":[0.00003919024,0.0001563059,0.0568438,0.0001838265,0.0007274472,0.0002401871,0.0004922232,0.06979882,0.564429,0.0001881836,0.0002147863,0.3066862],"study_design_scores_gemma":[0.0002768761,0.00008143624,0.009295828,0.0004089885,0.00005510425,0.0004867348,0.00007416784,0.02759785,0.9537845,0.0003147198,0.007442806,0.0001809493],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9454707,0.002944642,0.05045297,0.0001026787,0.0006027634,0.00005968099,0.000005396192,0.0001487073,0.00021248],"genre_scores_gemma":[0.9695523,0.003156136,0.02686634,0.00001713276,0.0003580515,0.000007453176,0.000003197511,0.0000315543,0.000007808154],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3893555,"threshold_uncertainty_score":0.6066254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007913758832799515,"score_gpt":0.274925556078262,"score_spread":0.2670117972454625,"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."}}