{"id":"W2091257268","doi":"10.1111/j.1523-1739.2003.00338.x","title":"Designing Effective Marine Protected Areas in Seaflower Biosphere Reserve, Colombia, Based on Biological and Sociological Information","year":2003,"lang":"en","type":"article","venue":"Conservation Biology","topic":"Coral and Marine Ecosystems Studies","field":"Environmental Science","cited_by":122,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"World Bank Group","keywords":"Stakeholder; Marine protected area; Habitat; Biosphere; Environmental resource management; Nature reserve; Zoning; Marine reserve; Geography; Process (computing); Ecology; Corporate governance; Environmental planning; Business; Computer science; Environmental science; Engineering; Biology; Political science","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":[0.001555991,0.0003045239,0.000119313,0.001734986,0.001585164,0.001319165,0.0006004563,0.0002926041,0.005302147],"category_scores_gemma":[0.0033656,0.0001596214,0.0001095167,0.0007251636,0.0006254296,0.001102455,0.001469703,0.0002988714,0.0001890763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00320117,"about_ca_system_score_gemma":0.004687014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03744054,"about_ca_topic_score_gemma":0.1559619,"domain_scores_codex":[0.9993808,0.0003081772,0.00003604697,0.00008109309,0.00008949031,0.0001043396],"domain_scores_gemma":[0.9984314,0.0006152649,0.000291271,0.00009409002,0.0002695368,0.0002983629],"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":[0.000451611,0.0008027368,0.428478,0.001765602,0.00005871781,0.001839169,0.03679549,0.01929584,0.01502948,0.02209108,0.01102288,0.4623694],"study_design_scores_gemma":[0.0001255905,0.0004675791,0.7437708,0.001548971,0.0001715305,0.0005132654,0.08861867,0.03192742,0.004177041,0.008591271,0.1199957,0.00009213818],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9200176,0.0008600103,0.01411781,0.001754525,0.00003067838,0.001307239,0.0006307802,0.0001033346,0.06117805],"genre_scores_gemma":[0.9756124,0.0002534758,0.02120246,0.00005071464,0.000005167755,0.0004081642,0.0002238081,0.000009806358,0.002234146],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03744054,"threshold_uncertainty_score":0.07444525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01776341053645639,"score_gpt":0.2277018664319301,"score_spread":0.2099384558954737,"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."}}