{"id":"W3117811772","doi":"10.1111/gcb.15499","title":"Anthropogenic climate change impacts on copepod trait biogeography","year":2020,"lang":"en","type":"article","venue":"Global Change Biology","topic":"Marine Biology and Ecology Research","field":"Earth and Planetary Sciences","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Environment Research Council; Sight Research UK; Simons Foundation; National Aeronautics and Space Administration","keywords":"Copepod; Climate change; Trophic level; Food web; Ecology; Range (aeronautics); Oceanography; Phytoplankton; Pelagic zone; Species richness; Zooplankton; Environmental science; Arctic; Biology; Nutrient; Crustacean; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001521284,0.0001089087,0.00007245409,0.0003985644,0.0001390023,0.0004746212,0.00008352295,0.0001355395,0.001903981],"category_scores_gemma":[0.0005790107,0.00005783303,0.0002234311,0.0006037269,0.0001664846,0.0002244823,0.0002835769,0.0001270753,0.0001430792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000307047,"about_ca_system_score_gemma":0.0001825818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01199305,"about_ca_topic_score_gemma":0.0134015,"domain_scores_codex":[0.9999334,0.00001956571,0.000005283203,0.00001787455,0.00001130152,0.00001259326],"domain_scores_gemma":[0.9995838,0.00008549908,0.0001721433,0.00002895155,0.00007466057,0.00005483987],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003883376,0.00001387417,0.9910038,0.00001465018,0.00008250341,0.0000706386,0.00007087396,0.002771381,0.001783519,0.0001638312,0.0002307922,0.003755355],"study_design_scores_gemma":[9.448676e-7,0.000009090356,0.9982648,0.000002363412,0.000005665157,0.00001921703,0.00007017604,0.001267756,0.00007824664,0.0000363694,0.0002436412,0.00000172253],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977933,0.0001034619,0.0001629577,0.00008325678,0.000005517107,0.000002201834,0.0008379782,0.000006269924,0.001005067],"genre_scores_gemma":[0.9995179,0.00007869635,0.00003962082,0.00000958503,0.00000377767,0.000001585519,0.0002402539,0.000001599516,0.0001068801],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01199305,"threshold_uncertainty_score":0.02384651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09436059335693213,"score_gpt":0.3092189397784589,"score_spread":0.2148583464215267,"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."}}