{"id":"W2162973885","doi":"10.1111/j.1939-7445.2002.tb00097.x","title":"MARINE PROTECTED AREA PERFORMANCE IN A MODEL OF THE FISHERY","year":2002,"lang":"en","type":"article","venue":"Natural Resource Modeling","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Marine protected area; Fishery; Shock (circulatory); Habitat; Biomass (ecology); Marine ecosystem; Business; Fisheries management; Ecosystem; Marine habitats; Marine reserve; Environmental science; Environmental resource management; Ecology; Fishing; Biology","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":[0.0006676523,0.0006909733,0.0007486035,0.0005505562,0.0007473952,0.002128587,0.001766091,0.002532134,0.0104404],"category_scores_gemma":[0.002532207,0.0006510941,0.0008171261,0.0006052693,0.00153722,0.001997811,0.001379204,0.001296827,0.0006263175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002326079,"about_ca_system_score_gemma":0.001603942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04733773,"about_ca_topic_score_gemma":0.01766293,"domain_scores_codex":[0.9997192,0.0001082745,0.0000101062,0.00005802607,0.00003161632,0.00007277211],"domain_scores_gemma":[0.9991413,0.0003883916,0.0001544114,0.00004789764,0.00008562375,0.0001823985],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005239882,0.00003411748,0.001048582,0.000009569356,0.00001358755,0.00007567879,0.00002681538,0.9860696,0.0001183705,0.0117354,0.0002695783,0.0005464724],"study_design_scores_gemma":[0.00003481015,0.00002773881,0.0004334014,0.000005491763,0.000007377687,0.00001192894,0.00002676759,0.996198,0.00002358045,0.002925409,0.0002991164,0.000006352441],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8925397,0.0003917925,0.04917439,0.003073562,0.0001236752,0.00008534086,0.001262385,0.0001510577,0.05319826],"genre_scores_gemma":[0.9824806,0.0001604021,0.003032369,0.00009500483,0.00002546245,0.00009137589,0.0001993528,0.00002563594,0.01388988],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04733773,"threshold_uncertainty_score":0.09412438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03152743620157188,"score_gpt":0.2094932338957626,"score_spread":0.1779657976941907,"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."}}