{"id":"W3180359264","doi":"10.1111/faf.12586","title":"The status of climate change adaptation in fisheries management: Policy, legislation and implementation","year":2021,"lang":"en","type":"article","venue":"Fish and Fisheries","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":98,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Hempel Fonden; Natural Sciences and Engineering Research Council of Canada; Marine Environmental Observation Prediction and Response Network","keywords":"Fisheries management; Legislation; Fisheries law; Climate change; Adaptive management; Environmental resource management; Business; Corporate governance; Context (archaeology); Adaptation (eye); Fishery; Geography; Ecology; Political science; Fishing; Environmental science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001414656,0.00008514284,0.00009773587,0.00003309317,0.0001745204,0.0001128871,0.00005399394,0.00003382776,0.0005420265],"category_scores_gemma":[0.00003618384,0.00007306517,0.00001493096,0.0002772218,0.0002207079,0.0005131579,0.0002710124,0.00006282541,0.000001358436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004299397,"about_ca_system_score_gemma":0.0000116315,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003187428,"about_ca_topic_score_gemma":0.02197896,"domain_scores_codex":[0.9990193,0.00005625998,0.0001955008,0.0001843044,0.0001842625,0.0003603617],"domain_scores_gemma":[0.999696,0.00004697138,0.00005851203,0.0001234184,0.00001354503,0.00006159707],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003000811,0.000008988828,0.5854101,0.00002964096,0.000004744731,0.00000394645,0.00191959,5.22482e-7,0.00001506776,0.0007565737,0.0004272122,0.4113936],"study_design_scores_gemma":[0.0003049687,0.00004799637,0.7957653,0.000005044965,0.000004365977,0.000002473914,0.005363976,0.0001844088,0.00005396753,0.0008422121,0.1973519,0.00007343484],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.716296,0.000148894,0.00004355281,0.007063004,0.00008426191,0.0005523462,0.00007378606,0.00002432903,0.2757139],"genre_scores_gemma":[0.9575345,0.03977813,0.0007047442,0.0005690194,0.00006283361,0.0001593588,0.0001322081,0.00001755297,0.001041644],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4113201,"threshold_uncertainty_score":0.9958674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03070900031947979,"score_gpt":0.2748761357278897,"score_spread":0.2441671354084099,"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."}}