{"id":"W1480795243","doi":"10.1109/iecec.1997.656680","title":"Performance of a 10 kW underwater diesel engine system","year":2002,"lang":"en","type":"article","venue":"","topic":"Maritime Transport Emissions and Efficiency","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; University of Calgary","keywords":"Automotive engineering; Diesel engine; Environmental science; Combustion; Atmosphere (unit); Diesel fuel; Carbon dioxide; Internal combustion engine; Exhaust gas recirculation; Exhaust gas; Waste management; Engineering; Meteorology; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044632,0.0006063519,0.0008990291,0.00051992,0.000524952,0.0006163136,0.0007945967,0.0007084497,0.008039897],"category_scores_gemma":[0.0007621515,0.0002714974,0.0003206325,0.0002785473,0.0003154062,0.0006101424,0.0005644076,0.0003807449,0.003405848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003883766,"about_ca_system_score_gemma":0.0004006046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00439002,"about_ca_topic_score_gemma":0.002827826,"domain_scores_codex":[0.9995895,0.00004898219,0.00003908792,0.00009404415,0.0001312324,0.00009721264],"domain_scores_gemma":[0.9994705,0.0001296603,0.00002834086,0.0000504847,0.0002405548,0.00008040089],"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":[0.005910755,0.000590318,0.01442022,0.0008133316,0.0002394189,0.0008130485,0.0007174669,0.02573284,0.8858239,0.0004049347,0.001725381,0.06280845],"study_design_scores_gemma":[0.0005280391,0.009599064,0.04344648,0.00008972261,0.0003127344,0.0009226889,0.0006973312,0.1235458,0.8108362,0.0002426002,0.009637153,0.0001421559],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924885,0.0001031415,0.003809671,0.00004698545,0.00003252284,0.00003913737,0.0002205185,0.0007860069,0.002473501],"genre_scores_gemma":[0.9946568,0.00006263082,0.0006801647,0.00002977429,0.000004121974,0.00001692464,0.0003923587,0.00005667307,0.004100592],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008039897,"threshold_uncertainty_score":0.02689612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008900560398451628,"score_gpt":0.1663280994913718,"score_spread":0.1574275390929202,"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."}}