{"id":"W4296163609","doi":"10.1038/s41559-022-01854-4","title":"Coral conservation in a warming world must harness evolutionary adaptation","year":2022,"lang":"en","type":"article","venue":"Nature Ecology & Evolution","topic":"Coral and Marine Ecosystems Studies","field":"Environmental Science","cited_by":39,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Nature Conservancy; Gordon and Betty Moore Foundation","keywords":"Adaptation (eye); Coral reef; Coral; Climate change; Global warming; Range (aeronautics); Effects of global warming on oceans; Resilience of coral reefs; Ecology; Environmental change; Ocean acidification; Geography; Biology; Engineering","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003837572,0.0001243924,0.0001592376,0.0001664507,0.000481591,0.00000709897,0.0001496218,0.0001120896,0.001378541],"category_scores_gemma":[0.00009584918,0.0001359352,0.00004482176,0.0007765646,0.00008487452,0.0002775641,0.0004444964,0.0006148281,0.0001007971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001931931,"about_ca_system_score_gemma":0.00004096089,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00145559,"about_ca_topic_score_gemma":0.02942269,"domain_scores_codex":[0.9986396,0.0002013518,0.0002651085,0.000353366,0.0002590702,0.0002815353],"domain_scores_gemma":[0.9995885,0.00009442962,0.0001391165,0.0001223712,0.00002218608,0.00003337221],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007853651,0.000105327,0.9750457,0.000006327767,0.000006073557,0.000009722927,0.0001734998,0.008244381,0.0001791587,0.001324459,0.01415666,0.0006701698],"study_design_scores_gemma":[0.0004530867,0.00006821869,0.9439493,0.000003999407,0.000008983958,0.00002104734,0.000316364,0.0341802,0.000003579399,0.002041461,0.01881619,0.0001375478],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928839,0.0002424072,0.0001125219,0.001858111,0.00143593,0.0003871663,0.00001284025,0.00006677632,0.003000407],"genre_scores_gemma":[0.9961129,0.000004314896,0.0002544099,0.0003878613,0.00007386647,0.0002599818,0.00007954981,0.000009112879,0.002817934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03109637,"threshold_uncertainty_score":0.9995343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008366692967447862,"score_gpt":0.2147908876770977,"score_spread":0.2064241947096498,"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."}}