{"id":"W4407945346","doi":"10.1111/cobi.14437","title":"Incorporating cyclone risk in the design of marine protected and conserved areas as an ecosystem‐based adaptation approach","year":2025,"lang":"en","type":"article","venue":"Conservation Biology","topic":"Tropical and Extratropical Cyclones Research","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Australian Research Council","keywords":"Adaptation (eye); Ecosystem; Cyclone (programming language); Geography; Environmental resource management; Environmental science; Ecology; Biology; Computer 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005655006,0.00008123009,0.0001592726,0.0001085324,0.0001033855,0.0000253173,0.000148261,0.00009938909,0.00006916287],"category_scores_gemma":[0.0004672429,0.00005205182,0.00001575212,0.0004188477,0.000143935,0.00007142345,0.00001150078,0.0001610863,0.000003488699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002943561,"about_ca_system_score_gemma":0.0001209453,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01684095,"about_ca_topic_score_gemma":0.0155858,"domain_scores_codex":[0.9980626,0.001236632,0.0002798147,0.0002025636,0.00008145915,0.0001369441],"domain_scores_gemma":[0.9989009,0.0007387586,0.0001117612,0.0001342439,0.00007975291,0.00003450401],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002650693,0.00003388797,0.9837914,0.00004257373,0.000006989829,0.000001312593,0.00004893681,0.001805665,0.0003242705,0.002237972,0.00000757215,0.01143442],"study_design_scores_gemma":[0.0003806138,0.0002218215,0.6908404,0.0000081114,0.000004572364,0.000001825784,0.0001488699,0.3003253,0.00004849952,0.007932232,0.00004638022,0.00004133426],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9665587,0.00007733735,0.03131212,0.0009942218,0.00002447137,0.0005910766,0.00002368209,0.00001636187,0.0004020474],"genre_scores_gemma":[0.991639,0.00001341109,0.007771381,0.0002960757,0.00001223622,0.00002066262,0.0002397068,0.000001173703,0.000006395197],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2985197,"threshold_uncertainty_score":0.989706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04746913238824071,"score_gpt":0.2621214228318742,"score_spread":0.2146522904436335,"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."}}