{"id":"W3153446838","doi":"10.1016/j.marpol.2021.104490","title":"The implementation gap in Canadian fishery policy: Fisheries rebuilding and sustainability at risk","year":2021,"lang":"en","type":"article","venue":"Marine Policy","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fisheries management; Business; Sustainability; Fishing; Audit; Fishery; Work (physics); Fisheries law; Government (linguistics); Fisheries science; Environmental resource management; Environmental planning; Accounting; Geography; Economics; Engineering; Ecology","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":[0.03097057,0.0005728209,0.0009417165,0.003622981,0.02318331,0.01436526,0.003962876,0.004110441,0.005909405],"category_scores_gemma":[0.05418199,0.000613888,0.0009894921,0.006556707,0.009895863,0.007995147,0.008343807,0.007345092,0.0002871575],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.2470761,"about_ca_system_score_gemma":0.5964849,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9941065,"about_ca_topic_score_gemma":0.996759,"domain_scores_codex":[0.9640947,0.005855107,0.001031502,0.001588248,0.01778465,0.009645741],"domain_scores_gemma":[0.9512485,0.00984054,0.002958759,0.001174926,0.02235428,0.01242289],"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":[0.0003898133,0.0006204067,0.1140452,0.003085801,0.0003027384,0.0009859977,0.1229398,0.003427924,0.001305605,0.2762925,0.1615305,0.3150737],"study_design_scores_gemma":[0.00009212449,0.0002423039,0.2878415,0.005813724,0.0002465407,0.0002864099,0.1671003,0.003716742,0.001021623,0.02582368,0.5073388,0.0004763438],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2361999,0.01897533,0.003370255,0.610598,0.001158554,0.0003434939,0.001051594,0.0001231528,0.1281797],"genre_scores_gemma":[0.9266683,0.008356642,0.0054194,0.04977104,0.0001013179,0.0001669905,0.0004523261,0.00007166756,0.008992302],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2470761,"threshold_uncertainty_score":0.8732851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009983150404545815,"score_gpt":0.2953657777367278,"score_spread":0.285382627332182,"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."}}