{"id":"W4380874408","doi":"10.1002/9781119511847.ch18","title":"Fisheries and Marine Protected Areas","year":2023,"lang":"en","type":"other","venue":"","topic":"International Maritime Law Issues","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Marine protected area; Fishery; Fisheries management; Jurisdiction; Fish stock; Marine reserve; Environmental resource management; Geography; Fisheries law; Exclusive economic zone; Protected area; Government (linguistics); Marine spatial planning; Business; Environmental planning; Fish <Actinopterygii>; Fishing; Political science; Ecology; Environmental science; Habitat","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":[0.0006489439,0.0004447927,0.0001896492,0.00196356,0.00174319,0.004270505,0.0007354015,0.001544858,0.05213439],"category_scores_gemma":[0.001963884,0.0001440795,0.0002065307,0.00407393,0.003455457,0.003662918,0.002979079,0.002029551,0.008050072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001863638,"about_ca_system_score_gemma":0.00182113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0127198,"about_ca_topic_score_gemma":0.01825904,"domain_scores_codex":[0.9989827,0.0002462445,0.00004777545,0.0001712282,0.0004198264,0.0001322665],"domain_scores_gemma":[0.9993942,0.0001769607,0.0001244384,0.00006171608,0.0001573497,0.00008534422],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006144366,0.00001169698,0.000737594,0.0001449861,0.000003881887,0.000101149,0.001055326,0.0002108562,0.0001117065,0.8395236,0.08771293,0.07038014],"study_design_scores_gemma":[0.000001328927,0.000005009346,0.001353021,0.0002200604,0.00000141326,0.0001169411,0.0005237914,0.00003698023,0.0000316251,0.03141107,0.9662942,0.000004531553],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002253624,0.01190188,0.001333458,0.005846178,0.0006186418,0.00003351165,0.0008759979,0.00004802438,0.9770886],"genre_scores_gemma":[0.2239922,0.04429628,0.006767585,0.01020227,0.002175228,0.0003898305,0.002741635,0.0002258415,0.7092092],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05213439,"threshold_uncertainty_score":0.1744069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006116782587068031,"score_gpt":0.2017357328565489,"score_spread":0.1956189502694808,"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."}}