{"id":"W1520825100","doi":"10.4271/2004-01-1351","title":"Different Velocity Data Analysis for Flows Near a Spark Plug in the Combustion Chamber of a Spark Ignition Engine","year":2004,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Advanced Combustion Engine Technologies","field":"Chemical Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Spark plug; Ignition system; SPARK (programming language); Combustion chamber; Spark-ignition engine; Ignition timing; Combustion; Internal combustion engine; Mechanics; Spark chamber; Materials science; Automotive engineering; Nuclear engineering; Mechanical engineering; Computer science; Aerospace engineering; Physics; Engineering; Chemistry","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"],"consensus_categories":[],"category_scores_codex":[0.0007751931,0.00075784,0.001238658,0.0004185576,0.0002196951,0.00005878296,0.001763449,0.0007832268,0.00009574596],"category_scores_gemma":[0.002180662,0.000584106,0.0005045075,0.002233603,0.0006677798,0.0004735223,0.0006191263,0.001442328,0.00001482513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004417871,"about_ca_system_score_gemma":0.00005880419,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005613653,"about_ca_topic_score_gemma":0.0191152,"domain_scores_codex":[0.9956818,0.0000886839,0.001284558,0.001214167,0.0008661638,0.0008645872],"domain_scores_gemma":[0.9957933,0.0008784237,0.0003069263,0.002735134,0.0001321467,0.0001540932],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0004678725,0.0009611703,0.0001694414,0.0001683052,0.0002679778,0.0000285766,0.00006272394,0.08400566,0.8896964,0.02113391,0.0002635695,0.002774388],"study_design_scores_gemma":[0.002874578,0.0009649079,0.9752914,0.0004212784,0.0007787753,0.00005228646,0.0002283115,0.0002901051,0.002137364,0.01253651,0.003260011,0.001164503],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9787579,0.0003827266,0.005157501,0.006521091,0.0001948794,0.002677105,0.0006126921,0.003968921,0.001727142],"genre_scores_gemma":[0.971166,0.0001942864,0.0269665,0.0003000524,0.00008005861,0.0005840294,0.0005914453,0.00009388503,0.00002381162],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9751219,"threshold_uncertainty_score":0.999661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02700657797931005,"score_gpt":0.2662276392709462,"score_spread":0.2392210612916361,"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."}}