{"id":"W3035974816","doi":"","title":"Characterization of Low Sulfur Fuel Oils (LSFO) – A new generation of marine fuel oils - OC2020 A-050","year":2020,"lang":"en","type":"article","venue":"Duo Research Archive (University of Oslo)","topic":"Maritime Transport Emissions and Efficiency","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Characterization (materials science); Sulfur; Fuel oil; Environmental science; Waste management; Petroleum; Chemistry; Engineering; Materials science; Organic chemistry; Nanotechnology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000615904,0.0005240249,0.0002821987,0.001482269,0.000710435,0.0005832073,0.0003643646,0.0005411591,0.001815665],"category_scores_gemma":[0.0004836531,0.0001070039,0.0004289608,0.0005259444,0.0003166494,0.0004879471,0.0005191515,0.0003904343,0.0006486006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001133888,"about_ca_system_score_gemma":0.002158729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02258359,"about_ca_topic_score_gemma":0.03454937,"domain_scores_codex":[0.9991992,0.00003986535,0.00003189629,0.00009959321,0.0005458161,0.00008363682],"domain_scores_gemma":[0.9995911,0.00002778809,0.00003697876,0.00001852398,0.000286426,0.00003922111],"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":[0.0004695162,0.0001022249,0.00849131,0.0004495602,0.00002648125,0.0002437622,0.0001241052,0.001415204,0.9505213,0.0006699481,0.001135451,0.03635113],"study_design_scores_gemma":[0.00001329611,0.0004892523,0.009860557,0.00006932652,0.000027523,0.0002898556,0.0002203032,0.001882651,0.9601199,0.0001468769,0.02685652,0.00002406761],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9609987,0.00283642,0.01609973,0.0001830304,0.0001006262,0.0003561763,0.005770846,0.0002514487,0.01340306],"genre_scores_gemma":[0.9600844,0.002092244,0.01711535,0.0001537585,0.00001685514,0.0001685224,0.007293847,0.0001911983,0.01288385],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02258359,"threshold_uncertainty_score":0.04490423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0350052688327341,"score_gpt":0.2373362682565126,"score_spread":0.2023309994237785,"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."}}