{"id":"W2291997619","doi":"10.5988/jime.50.101","title":"Alfa Laval Green Technology - SOx Reduction Technology for ECA and Fuel Recovery Solution","year":2015,"lang":"en","type":"article","venue":"Marine Engineering","topic":"Iron and Steelmaking Processes","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Reduction (mathematics); Automotive engineering; Environmental science; Waste management; Engineering; Mathematics","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":[0.0002804694,0.0003754087,0.0001946696,0.0008241118,0.0008323308,0.0009359809,0.0003652288,0.0006588177,0.002809484],"category_scores_gemma":[0.0001613383,0.0001246996,0.0005012366,0.0004332224,0.0003467101,0.0005595725,0.0005974157,0.0007156804,0.001229013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001480655,"about_ca_system_score_gemma":0.001419554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005883227,"about_ca_topic_score_gemma":0.0104109,"domain_scores_codex":[0.9996983,0.00002053331,0.000007714551,0.00003579853,0.0001914978,0.00004611151],"domain_scores_gemma":[0.9999229,0.000006533005,0.000008686687,0.0000107617,0.00003753427,0.00001354477],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005386721,0.0002274548,0.002985427,0.0004624308,0.00003625953,0.0006929684,0.0002222077,0.003238849,0.7931649,0.01726273,0.009550798,0.1716173],"study_design_scores_gemma":[0.00003537375,0.000283323,0.004697073,0.00003897393,0.00003462729,0.0004283619,0.0001551417,0.004853514,0.8284125,0.001474225,0.1595673,0.00001946639],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.7563017,0.008402922,0.04266886,0.003251358,0.0007340361,0.0002080969,0.001327592,0.001725977,0.1853794],"genre_scores_gemma":[0.902057,0.002789898,0.02198653,0.0003020655,0.00007820176,0.00004526915,0.0007118148,0.0001042698,0.07192497],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.005883227,"threshold_uncertainty_score":0.01169795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009246304021302998,"score_gpt":0.1963781107367246,"score_spread":0.1871318067154216,"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."}}