{"id":"W2991369856","doi":"10.24425/118171","title":"APPLICATION OF ION CURRENT MEASUREMENT TO IDENTIFICATION OF COMBUSTION PARAMETERS IN A HOMOGENEOUS CHARGE COMPRESSION IGNITION ENGINE","year":2018,"lang":"en","type":"article","venue":"Metrology and Measurement Systems","topic":"Advanced Combustion Engine Technologies","field":"Chemical Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Narodowym Centrum Nauki","keywords":"Homogeneous charge compression ignition; Ignition system; Materials science; Compression (physics); Homogeneous; Ion current; Current (fluid); Combustion; Compression ratio; Ion; Nuclear engineering; Charge (physics); Automotive engineering; Internal combustion engine; Combustion chamber; Engineering; Electrical engineering; Thermodynamics; Chemistry; Composite material; Physics","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":[0.001248674,0.0001534736,0.0003322393,0.0004267022,0.00003509782,0.000004098079,0.0001351098,0.0001217002,0.000001718592],"category_scores_gemma":[0.0003709399,0.0001511964,0.00003462475,0.0003678519,0.00007084283,0.00006541309,0.00003681327,0.0001308783,0.000006952144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002204335,"about_ca_system_score_gemma":0.00001211204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003749225,"about_ca_topic_score_gemma":0.000009769177,"domain_scores_codex":[0.998258,0.00008676475,0.0006786071,0.000286093,0.0004973951,0.0001931571],"domain_scores_gemma":[0.9987995,0.00003100781,0.0003009422,0.0002931494,0.0005288919,0.000046533],"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":[0.0000967989,0.0001455544,0.001111324,0.000284115,0.00002961278,1.797095e-7,0.0001009827,0.0408826,0.9438967,0.0009648565,0.00002167874,0.01246557],"study_design_scores_gemma":[0.0008955087,0.0002741298,0.003678769,0.0003526021,0.00005130862,0.000004104892,0.00009600024,0.1162015,0.8777171,0.000184768,0.0003576124,0.0001865672],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3456169,0.001173327,0.6521093,0.0000499901,0.0003522521,0.0005882661,0.000006984086,0.00008752425,0.00001539138],"genre_scores_gemma":[0.9990469,0.00004405614,0.00061448,0.000003594952,0.00004047078,0.0002250161,0.00001018981,0.00001315051,0.00000215378],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.65343,"threshold_uncertainty_score":0.6165611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04075859979340365,"score_gpt":0.2639727955293575,"score_spread":0.2232141957359539,"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."}}