{"id":"W3012962171","doi":"10.1111/gcb.15094","title":"Incorporating climate change adaptation into marine protected area planning","year":2020,"lang":"en","type":"review","venue":"Global Change Biology","topic":"Coral and Marine Ecosystems Studies","field":"Environmental Science","cited_by":200,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Jarislowsky Foundation; Ocean Frontier Institute","keywords":"Climate change; Environmental resource management; Adaptation (eye); Vulnerability (computing); Marine protected area; Climate change adaptation; Environmental planning; Marine spatial planning; Adaptive management; Corporate governance; Environmental science; Geography; Business; Computer science; Habitat; Ecology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01701649,0.000512079,0.0004792415,0.003604466,0.001867006,0.004531051,0.00198394,0.001389807,0.003079043],"category_scores_gemma":[0.0242103,0.0003280678,0.0009201374,0.00593295,0.00380408,0.004813522,0.003953058,0.002402275,0.0002722039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006004586,"about_ca_system_score_gemma":0.0143723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01645705,"about_ca_topic_score_gemma":0.04242199,"domain_scores_codex":[0.9888484,0.007473781,0.0007825019,0.0005983568,0.001639924,0.0006569906],"domain_scores_gemma":[0.9806581,0.0138964,0.001649741,0.001199856,0.002156117,0.0004398146],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004164936,0.0001110143,0.01320872,0.01040721,0.000309388,0.0008497147,0.02216509,0.03072912,0.001115319,0.1958521,0.01269398,0.7125167],"study_design_scores_gemma":[0.00002628968,0.0002125048,0.03033045,0.02790846,0.0004271782,0.0007242428,0.02863099,0.008870106,0.001524324,0.1868343,0.7143108,0.0002003374],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.1201183,0.2830381,0.1935723,0.08214594,0.001831481,0.001446365,0.001228884,0.0005003397,0.3161183],"genre_scores_gemma":[0.7571125,0.1268025,0.1074317,0.004466473,0.0003093088,0.0007218965,0.0005529528,0.0001186187,0.002484111],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01701649,"threshold_uncertainty_score":0.08999288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1587116046072706,"score_gpt":0.3298438266206057,"score_spread":0.1711322220133351,"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."}}