{"id":"W2516630610","doi":"10.15399/jfti.2016.02.9.1.50","title":"A Quantitative Analysis of Greenhouse Gas Emissions from the Korean Offshore Large Purse Seine Fishery","year":2016,"lang":"en","type":"article","venue":"Journal of the Fishing Technology Institute","topic":"Marine and Coastal Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Kyoto Protocol; Montreal Protocol; Natural resource economics; Environmental science; Fishing; Life-cycle assessment; Business; Environmental protection; Fishery; Ozone layer; Production (economics); Geography; Economics; Ecology; Ozone","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004746088,0.0001315997,0.0003567003,0.0004126225,0.0001267317,0.00002460613,0.001193169,0.0001543503,0.00007929712],"category_scores_gemma":[0.001053307,0.00005998436,0.0002774301,0.001339769,0.0002998916,0.0002872186,0.0003750095,0.0006098167,0.000003451581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006522858,"about_ca_system_score_gemma":0.0000747225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001011262,"about_ca_topic_score_gemma":0.001970469,"domain_scores_codex":[0.9988272,0.00005244779,0.0004356842,0.0001052141,0.0003302765,0.0002491848],"domain_scores_gemma":[0.9987702,0.0002387314,0.0002218665,0.0005531778,0.000159691,0.00005634072],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006565675,0.0007646499,0.3990681,0.0001140405,0.02344688,0.0006030696,0.003213516,0.01007208,0.1331143,0.03817783,0.1546907,0.2360782],"study_design_scores_gemma":[0.009018756,0.002113546,0.2321428,0.004642614,0.01096759,0.0004838487,0.008050955,0.06202276,0.08355399,0.1042601,0.4806004,0.002142649],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9728872,0.0002568678,0.006789953,0.01868143,0.0002869666,0.00008477081,0.0001059635,0.00007273439,0.0008341146],"genre_scores_gemma":[0.9985026,0.0003301191,0.0008090599,0.00005058247,0.00005959015,0.000003108589,0.000002160647,0.00001551068,0.0002272976],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3259097,"threshold_uncertainty_score":0.2649384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02144861319094205,"score_gpt":0.2687213084010804,"score_spread":0.2472726952101383,"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."}}