{"id":"W3196390202","doi":"10.1016/j.cub.2021.08.034","title":"Disentangling tropicalization and deborealization in marine ecosystems under climate change","year":2021,"lang":"en","type":"article","venue":"Current Biology","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":113,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Electricité de France; Ocean Frontier Institute; Région Hauts-de-France; Fondation pour la Recherche sur la Biodiversite; Canada Research Chairs; European Commission; Institut Français de Recherche pour l'Exploitation de la Mer; National Science Foundation","keywords":"Temperate climate; Biology; Subtropics; Ecosystem; Climate change; Marine ecosystem; Sea surface temperature; Population; Ecology; Global warming; Southern Hemisphere; Northern Hemisphere; Atmospheric sciences; Oceanography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005366307,0.0001964765,0.0003606664,0.0015664,0.0006194822,0.00108508,0.0002999925,0.0001977148,0.002965337],"category_scores_gemma":[0.003076624,0.0001378511,0.0004521029,0.002834374,0.0008574593,0.001411331,0.001615179,0.000578662,0.000237493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000551981,"about_ca_system_score_gemma":0.0007392679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02678915,"about_ca_topic_score_gemma":0.06024485,"domain_scores_codex":[0.9997136,0.00006970962,0.00002077848,0.00006363601,0.00005948625,0.00007284683],"domain_scores_gemma":[0.9977252,0.0005209068,0.0009697586,0.0001411975,0.0002956942,0.0003473776],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001606569,0.00002562762,0.9579361,0.0004619176,0.0006291803,0.0001434446,0.002527302,0.0006363353,0.001602984,0.001390966,0.001138554,0.03334704],"study_design_scores_gemma":[0.000001438826,0.00001816227,0.9972726,0.00004625057,0.00005221809,0.00003259467,0.0009701857,0.0002335236,0.00007025371,0.000471524,0.0008251877,0.000006068856],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9872668,0.003973448,0.0007009945,0.0006104383,0.00001830319,0.00001696187,0.001201419,0.00002447329,0.006187169],"genre_scores_gemma":[0.9977059,0.001226141,0.0002591521,0.0000740805,0.00001206042,0.000006935966,0.0004770135,0.000009451958,0.0002291953],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02678915,"threshold_uncertainty_score":0.05326647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04444310359110386,"score_gpt":0.3070680163907286,"score_spread":0.2626249127996247,"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."}}