{"id":"W2789042547","doi":"","title":"Effects of various additives on regulated emissions of modern diesel engines","year":2017,"lang":"en","type":"dissertation","venue":"Knowledge Commons (Lakehead University)","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Lakehead University","keywords":"Diesel fuel; Environmental science; Engineering; Waste management","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00004967124,0.0003542869,0.0005997337,0.000654121,0.000240594,0.00001191958,0.0005900877,0.0004217938,0.00005667469],"category_scores_gemma":[0.00007250985,0.000374104,0.0002027576,0.0003354255,0.00008445088,0.0001326605,0.00004755755,0.0004529694,0.00001277618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008596791,"about_ca_system_score_gemma":0.0001232159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001451869,"about_ca_topic_score_gemma":0.002953732,"domain_scores_codex":[0.9990609,0.00004938142,0.000248704,0.000241447,0.0001463334,0.0002532454],"domain_scores_gemma":[0.998579,0.0002710455,0.0001875433,0.0005922731,0.0002279416,0.0001422252],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002193322,0.004000567,0.004785308,0.04189474,0.004175634,0.0005127245,0.04068846,0.02028934,0.2548083,0.0152768,0.05126973,0.560105],"study_design_scores_gemma":[0.005217229,0.0009035721,0.1801272,0.02587114,0.001384767,0.000009727764,0.0005458944,0.03611729,0.370694,0.000604919,0.3755355,0.002988793],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7289138,0.002330612,0.0001049182,0.000005861275,0.0007035084,0.00028582,0.0001614991,0.0001751695,0.2673188],"genre_scores_gemma":[0.9545047,0.00008735075,0.00001563428,1.163417e-7,0.00004949883,0.000002500774,0.000299012,0.00005457634,0.04498659],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5571163,"threshold_uncertainty_score":0.9998711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01159268379473753,"score_gpt":0.2254627531610654,"score_spread":0.2138700693663279,"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."}}