{"id":"W2105622624","doi":"10.1111/j.1523-1739.2009.01185.x","title":"Comparing and Integrating Community‐Based and Science‐Based Approaches to Prioritizing Marine Areas for Protection","year":2009,"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 British Columbia","funders":"","keywords":"Marine protected area; Environmental resource management; Credibility; Geography; Resource (disambiguation); Fishing; Marine conservation; Environmental planning; Ecology; Computer science; Environmental science; Habitat; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005398273,0.00007950529,0.0001228735,0.00005605079,0.0005575692,0.00003401414,0.00007118221,0.00002798266,0.000003820469],"category_scores_gemma":[0.0001957567,0.00006779735,0.00001055936,0.0001832793,0.0001910804,0.00008749772,0.0001481438,0.00007644509,0.000001150651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005800264,"about_ca_system_score_gemma":0.00001224072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001064877,"about_ca_topic_score_gemma":0.001574754,"domain_scores_codex":[0.9994525,0.00005448785,0.0001318381,0.0001790738,0.00004028391,0.0001417575],"domain_scores_gemma":[0.9997157,0.00007836321,0.00005394271,0.00008855902,0.00001803429,0.00004540391],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005835245,0.00003978618,0.8788619,0.00003446181,0.000002597877,1.10443e-7,0.000255461,0.00002366435,0.03916839,0.001939562,0.00005472263,0.07956097],"study_design_scores_gemma":[0.0004278146,0.0004038608,0.919552,0.00002418357,0.000005837885,0.000003122042,0.0002018617,0.07282974,0.001443093,0.002141728,0.002837998,0.0001287863],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9817341,0.000006637969,0.01179066,0.004905521,0.0000378482,0.0005248707,0.000001407257,0.00003544098,0.0009635121],"genre_scores_gemma":[0.9918398,6.022511e-7,0.007194217,0.0008469285,0.00001354737,0.00006714612,0.00001059483,0.000002428765,0.00002473543],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07943218,"threshold_uncertainty_score":0.4288428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2010449172142297,"score_gpt":0.283381572794532,"score_spread":0.08233665558030229,"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."}}