{"id":"W2113406510","doi":"10.1111/j.1523-1739.2004.00022.x","title":"Effects of Noncompliance on the Success of Alternative Designs of Marine Protected‐Area Networks for Conservation and Fisheries Management","year":2004,"lang":"en","type":"article","venue":"Conservation Biology","topic":"Coral and Marine Ecosystems Studies","field":"Environmental Science","cited_by":97,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; University of Windsor","keywords":"Marine protected area; Fishing; Population; Marine conservation; Fishery; Marine reserve; Biological dispersal; Fisheries management; Yield (engineering); Environmental science; Geography; Ecology; Biology; Physics; Habitat; Demography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001340243,0.00007142984,0.0001574757,0.00001670638,0.00004923334,0.000002113827,0.00008786742,0.00002918062,0.00001803363],"category_scores_gemma":[0.00007444575,0.00004863503,0.00002121299,0.0001048901,0.0002537939,0.00003920454,0.0001368607,0.00002684506,4.382903e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002146169,"about_ca_system_score_gemma":0.000003953381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00123453,"about_ca_topic_score_gemma":0.0005374651,"domain_scores_codex":[0.9995089,0.00004346096,0.0002016563,0.0001240553,0.00004447738,0.00007748798],"domain_scores_gemma":[0.9993007,0.0003394881,0.0002283633,0.00008488424,0.00003710297,0.000009420084],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004053806,0.0001459389,0.9358242,0.0005275347,0.0001250749,7.362942e-7,0.0002943874,0.0005956345,0.01670367,0.03580724,0.0007364296,0.008833797],"study_design_scores_gemma":[0.0007931083,0.0005434826,0.9626646,0.00009423892,0.00002158165,6.583803e-7,0.00004345487,0.002014356,0.01969703,0.01337243,0.00067834,0.00007672],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9796729,0.00002250727,0.01632929,0.002369415,0.00006663689,0.001052223,0.000006683938,0.000006359015,0.0004739487],"genre_scores_gemma":[0.9983912,0.00005969752,0.001014939,0.0002614919,0.000007266929,0.0001861374,0.000008343055,0.000003078603,0.00006787787],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02684042,"threshold_uncertainty_score":0.1983279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03207796226986466,"score_gpt":0.2391000483832038,"score_spread":0.2070220861133391,"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."}}