{"id":"W4386069173","doi":"10.1038/s41467-023-40601-6","title":"Emergent increase in coral thermal tolerance reduces mass bleaching under climate change","year":2023,"lang":"en","type":"article","venue":"Nature Communications","topic":"Coral and Marine Ecosystems Studies","field":"Environmental Science","cited_by":113,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Mitacs; Natural Environment Research Council; Sight Research UK; UK Research and Innovation","keywords":"Coral bleaching; Coral reef; Reef; Coral; Climate change; Environmental science; Global warming; Psychological resilience; Adaptation (eye); Ecology; Oceanography; Biology; Geology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002878926,0.0000995666,0.0001131656,0.00004898274,0.0003243058,0.00001668024,0.000605142,0.0000763714,0.0001202584],"category_scores_gemma":[0.00003305243,0.00008784648,0.0000379306,0.0004992143,0.00007315625,0.0001680206,0.001219866,0.0004449716,0.0003459084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008434369,"about_ca_system_score_gemma":0.000003865399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009723036,"about_ca_topic_score_gemma":0.008985258,"domain_scores_codex":[0.9991737,0.0001140244,0.0001677334,0.0001683882,0.0001349141,0.0002412325],"domain_scores_gemma":[0.9991978,0.00007792185,0.00005681225,0.0006156018,0.000007886282,0.00004396515],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000219563,0.0001696068,0.9654143,0.00002589449,0.00001708787,0.000006397669,0.001705835,0.0003297962,0.006634784,0.003855721,0.00675574,0.01506291],"study_design_scores_gemma":[0.0001475929,0.00001118891,0.9777625,0.00003464066,0.000007402322,0.000001088808,0.0003200785,0.003094201,0.00004363434,0.0002502003,0.01818903,0.00013844],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9762263,0.001397275,0.000001337081,0.008919696,0.0002297683,0.0002547391,0.00002101136,0.0001131853,0.0128367],"genre_scores_gemma":[0.9967836,0.002035045,0.0003003727,0.0003392578,0.00004359186,0.0001573845,0.00003786169,0.00001014534,0.000292723],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02055733,"threshold_uncertainty_score":0.5013985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04196401856758324,"score_gpt":0.301862920846769,"score_spread":0.2598989022791858,"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."}}