{"id":"W2082856932","doi":"10.1111/j.1095-8649.2010.02777.x","title":"Fish communities on the world's warmest reefs: what can they tell us about the effects of climate change in the future?","year":2010,"lang":"en","type":"article","venue":"Journal of Fish Biology","topic":"Coral and Marine Ecosystems Studies","field":"Environmental Science","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"United Nations University Institute for Water, Environment, and Health","funders":"","keywords":"Coral reef fish; Range (aeronautics); Abundance (ecology); Trophic level; Species richness; Reef; Ecology; Habitat; Fishery; Coral reef; Biomass (ecology); Oceanography; Climate change; Geography; Biology; Geology","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":[],"consensus_categories":[],"category_scores_codex":[0.001009759,0.0001200208,0.0002288439,0.00004011414,0.0002140137,0.00003662296,0.000715928,0.00005416764,0.0001073904],"category_scores_gemma":[0.00006444278,0.00004546365,0.00009147287,0.0001206816,0.0002876127,0.0001102318,0.0002811783,0.0006102396,0.000006962212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002660295,"about_ca_system_score_gemma":0.000005137043,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001335201,"about_ca_topic_score_gemma":0.2481725,"domain_scores_codex":[0.9988873,0.0004071646,0.0002805221,0.00006845705,0.0001288243,0.0002277519],"domain_scores_gemma":[0.9982823,0.001074412,0.0003166025,0.0002851576,0.00001749352,0.00002409273],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001165612,0.0002089572,0.9218748,0.00005333425,0.00006143952,0.00002577495,0.0165053,0.000002318919,0.001612765,0.001099539,0.01526258,0.04317666],"study_design_scores_gemma":[0.000225364,0.0003810245,0.8916598,0.00009771795,0.00001778557,0.0000544825,0.003055502,0.000006678857,0.0001554118,0.0004006186,0.1038743,0.00007135406],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9669693,0.0001581864,4.830441e-8,0.02837819,0.001343218,0.0002348925,0.000008332016,0.000002890911,0.002904924],"genre_scores_gemma":[0.9881324,0.004861542,0.00000387415,0.006465273,0.0004565105,0.00002118738,0.000001237659,0.00000526634,0.00005270805],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2468373,"threshold_uncertainty_score":0.7655464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0136334865963272,"score_gpt":0.2401846744850317,"score_spread":0.2265511878887045,"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."}}