{"id":"W2810406640","doi":"10.1111/conl.12587","title":"Risk‐sensitive planning for conserving coral reefs under rapid climate change","year":2018,"lang":"en","type":"article","venue":"Conservation Letters","topic":"Coral and Marine Ecosystems Studies","field":"Environmental Science","cited_by":240,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Bloomberg Philanthropies; Australian Research Council; Nature Conservancy; Paul G. Allen Family Foundation","keywords":"Coral reef; Climate change; Reef; Threatened species; Resilience of coral reefs; Ecosystem; Coral reef protection; Environmental resource management; Coral reef organizations; Geography; Ecology; Environmental science; Habitat; 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":[0.003388369,0.0006413125,0.0005472158,0.00111508,0.0007391657,0.00285971,0.001095149,0.001480909,0.004796496],"category_scores_gemma":[0.008344471,0.0005116099,0.0005237141,0.001037038,0.001221555,0.002017559,0.002618803,0.001509861,0.0002674951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003181284,"about_ca_system_score_gemma":0.003481356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007624976,"about_ca_topic_score_gemma":0.01012973,"domain_scores_codex":[0.9986652,0.0008312821,0.0000402759,0.0001373544,0.0001725214,0.0001533532],"domain_scores_gemma":[0.9970409,0.001556748,0.0006127685,0.0001410953,0.0002508873,0.000397476],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005084459,0.00007241541,0.002004604,0.00006447249,0.00006492526,0.0001661857,0.0001610788,0.9030932,0.0004000242,0.07572334,0.001990854,0.01620799],"study_design_scores_gemma":[0.00002491232,0.00009839269,0.001379985,0.00007152195,0.00003395525,0.00006328878,0.0005681316,0.7704189,0.0002388656,0.2241083,0.002961605,0.00003214932],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2184854,0.001637626,0.7168797,0.01246304,0.0001976099,0.0005270593,0.0005290486,0.0003699858,0.04891045],"genre_scores_gemma":[0.9456729,0.00074654,0.05058316,0.0001958611,0.00004788302,0.000179808,0.0001097808,0.00002884573,0.002435182],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007624976,"threshold_uncertainty_score":0.0230819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04945710633105515,"score_gpt":0.2604925187021672,"score_spread":0.211035412371112,"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."}}