{"id":"W4405379478","doi":"10.1080/23308249.2024.2436415","title":"Protecting Migrant Labor Rights in the Distant-Water Fisheries Sector: A Comparative Analysis of the Legal Framework of Three Major Fishing Nations in Eastern Asia","year":2024,"lang":"en","type":"article","venue":"Reviews in Fisheries Science & Aquaculture","topic":"Economic Zones and Regional Development","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Business; Work (physics); Fishing; Fisheries management; Corporate social responsibility; Sustainable development; Fishery; Economic growth; Political science; Economics; Public relations; Law","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":[0.00209363,0.00009538153,0.0001359909,0.0011324,0.001025997,0.001197558,0.0003320331,0.0002419521,0.002261116],"category_scores_gemma":[0.003105797,0.00006271032,0.0002105275,0.001126632,0.001168973,0.001151803,0.001377349,0.0003569409,0.0001097138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001511729,"about_ca_system_score_gemma":0.002115667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02119616,"about_ca_topic_score_gemma":0.04442622,"domain_scores_codex":[0.9991933,0.0002623258,0.00005565958,0.00005640506,0.0001267183,0.0003056589],"domain_scores_gemma":[0.9982504,0.0005943466,0.0006101462,0.00008101828,0.0002523354,0.0002117698],"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":[0.0002644172,0.0001575512,0.8033682,0.0003226027,0.00006110949,0.001885847,0.06611033,0.0006437952,0.001234011,0.04959606,0.001169258,0.07518694],"study_design_scores_gemma":[0.00001379285,0.0001048684,0.8364308,0.0004353482,0.00004171663,0.0002685517,0.1446174,0.0004809731,0.0003464218,0.002019072,0.01522466,0.00001639911],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.9888495,0.0005919397,0.0001894686,0.0003604426,0.000005674961,0.00001680049,0.0000377357,0.000001251437,0.009947267],"genre_scores_gemma":[0.9984187,0.0004094761,0.00009878722,0.00008186397,0.000002413417,0.0000110607,0.00003890087,0.000001125784,0.0009376255],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.02119616,"threshold_uncertainty_score":0.04214555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06403809991090925,"score_gpt":0.2705126556333808,"score_spread":0.2064745557224715,"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."}}