{"id":"W3210991175","doi":"10.1111/cobi.13856","title":"Identifying management opportunities to combat climate, land, and marine threats across less climate exposed coral reefs","year":2021,"lang":"en","type":"article","venue":"Conservation Biology","topic":"Coral and Marine Ecosystems Studies","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"University of Queensland; Australian Government","keywords":"Coral reef; Climate change; Reef; Geography; Marine protected area; Biodiversity; Livelihood; Environmental resource management; Resilience of coral reefs; Marine reserve; Fishery; Ecology; Environmental science; Agriculture; Fishing; Biology","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":[0.001652517,0.0003092725,0.0002297719,0.002250724,0.001150744,0.001727492,0.000526069,0.0003643281,0.002572474],"category_scores_gemma":[0.003626301,0.0001448835,0.0003788388,0.002838992,0.0006371894,0.001009732,0.003356354,0.0006030276,0.0002224013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001849326,"about_ca_system_score_gemma":0.003407221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02670847,"about_ca_topic_score_gemma":0.08521055,"domain_scores_codex":[0.9988484,0.0003787032,0.00009137076,0.0001056099,0.0002198272,0.0003560391],"domain_scores_gemma":[0.9956226,0.0003726787,0.002088247,0.0002040252,0.0006951582,0.001017315],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005837209,0.0001608939,0.9198376,0.0003517227,0.0001093495,0.0002839103,0.002499072,0.002446227,0.002313508,0.001387562,0.003059667,0.06749205],"study_design_scores_gemma":[0.000006199405,0.0001249973,0.9774923,0.0001739238,0.00004038589,0.0001005164,0.01035805,0.00203649,0.0005062964,0.0005252807,0.00861512,0.0000204388],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9806763,0.0004646934,0.00218747,0.001130317,0.00002175243,0.0001050244,0.000569706,0.0000489451,0.01479575],"genre_scores_gemma":[0.9955907,0.0003267689,0.002928136,0.0001642731,0.000007869324,0.00006907232,0.0002624883,0.000005967251,0.0006448271],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02670847,"threshold_uncertainty_score":0.05310607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1161626487841615,"score_gpt":0.3074968585728607,"score_spread":0.1913342097886992,"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."}}