{"id":"W4376880309","doi":"10.1063/5.0150010","title":"A comprehensive review of emission reduction technologies for marine transportation","year":2023,"lang":"en","type":"review","venue":"Journal of Renewable and Sustainable Energy","topic":"Maritime Transport Emissions and Efficiency","field":"Environmental Science","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Flexibility (engineering); Propulsion; Sustainability; Engineering; Reduction (mathematics); Marine propulsion; Liquefied natural gas; Environmental economics; Environmental science; Waste management; Natural gas","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":[0.0006183821,0.00131602,0.001453874,0.003970902,0.0004128315,0.001079622,0.0009423232,0.00117253,0.007204565],"category_scores_gemma":[0.0007738475,0.0005384416,0.001108752,0.004355199,0.0002830644,0.001636658,0.0006422143,0.001535169,0.00275364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006343119,"about_ca_system_score_gemma":0.001722371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002271678,"about_ca_topic_score_gemma":0.003206193,"domain_scores_codex":[0.999616,0.00004814237,0.00006094106,0.00006863847,0.0001709737,0.00003527163],"domain_scores_gemma":[0.9995996,0.0001727934,0.00006841477,0.00001560584,0.0001213812,0.00002212877],"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":[0.00005779412,0.0001374497,0.0001513245,0.06407633,0.0001400456,0.0001991055,0.00008443098,0.0009615214,0.004649445,0.007178249,0.03458684,0.8877775],"study_design_scores_gemma":[0.000006308557,0.00008731788,0.000500578,0.005605475,0.0001223604,0.0003375773,0.00003428426,0.0001051046,0.0007689519,0.001075271,0.9913361,0.00002059943],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001928153,0.9964748,0.0002856986,0.0001580957,0.000241515,0.00001394391,0.00007396609,0.00001219867,0.002546966],"genre_scores_gemma":[0.0008289896,0.9974814,0.0004349276,0.000118037,0.0001175525,0.00001303054,0.00008012633,0.000003123591,0.0009227899],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.007204565,"threshold_uncertainty_score":0.02410167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01881507675339751,"score_gpt":0.2798906350478356,"score_spread":0.2610755582944381,"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."}}