{"id":"W2093049258","doi":"10.1111/faf.12087","title":"Fuel consumption of global fishing fleets: current understanding and knowledge gaps","year":2014,"lang":"en","type":"article","venue":"Fish and Fisheries","topic":"Marine Bivalve and Aquaculture Studies","field":"Environmental Science","cited_by":210,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Australian Seafood Cooperative Research Centre","keywords":"Fishing; Sustainability; Fossil fuel; Fishery; Pelagic zone; Natural resource economics; Production (economics); Business; Tonne; Fuel efficiency; Consumption (sociology); Fisheries management; Environmental science; Economics; Geography; Ecology; Engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.002367555,0.0006640343,0.001313484,0.003910956,0.0003350581,0.002943886,0.001115128,0.0009328266,0.002754246],"category_scores_gemma":[0.004451422,0.000435955,0.0007994853,0.01003247,0.001391833,0.004048708,0.001379761,0.001018032,0.0006102276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009394957,"about_ca_system_score_gemma":0.001240903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01814582,"about_ca_topic_score_gemma":0.01383172,"domain_scores_codex":[0.9991338,0.0001283216,0.0002016799,0.0003327001,0.0001326012,0.00007101369],"domain_scores_gemma":[0.9941549,0.003300275,0.001435778,0.0002224395,0.0007364678,0.0001501903],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003312579,0.0001775016,0.2517254,0.01976278,0.001080097,0.0001593024,0.001356156,0.002795575,0.0008410983,0.003758786,0.006946712,0.7110653],"study_design_scores_gemma":[0.00001775702,0.0004205716,0.7750139,0.03415278,0.001458843,0.001034355,0.01182675,0.003628852,0.001228354,0.01964245,0.1514285,0.000146966],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1019829,0.8800395,0.001542182,0.003208738,0.0001593147,0.00001502758,0.006156456,0.00003366983,0.00686234],"genre_scores_gemma":[0.4304509,0.5603583,0.002152501,0.001669261,0.0005157447,0.00004361473,0.004352864,0.00002533635,0.0004314842],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01814582,"threshold_uncertainty_score":0.03608042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0329637091877258,"score_gpt":0.2594231190351636,"score_spread":0.2264594098474378,"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."}}