{"id":"W2953029132","doi":"10.1073/pnas.1900194116","title":"Global ensemble projections reveal trophic amplification of ocean biomass declines with climate change","year":2019,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":582,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of British Columbia; Dalhousie University","funders":"Australian Research Council; Ocean Frontier Institute; Nippon Foundation; Bundesministerium für Bildung und Forschung; Natural Sciences and Engineering Research Council of Canada; European Commission; Agence Nationale de la Recherche; Department for Environment, Food and Rural Affairs, UK Government; Government of Canada","keywords":"Trophic level; Environmental science; Climate change; Fishing; Biomass (ecology); Marine ecosystem; Global warming; Ecosystem; Global change; Effects of global warming; Latitude; Climatology; Ecology; Geography; Biology","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":[0.0007244656,0.0004030218,0.0001883664,0.0004166448,0.0001752397,0.0005521118,0.0001863915,0.0002807314,0.0007815697],"category_scores_gemma":[0.001481497,0.0001557098,0.0007064174,0.0005271178,0.0001132042,0.0007207621,0.0004444119,0.0003168454,0.00009988116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002932951,"about_ca_system_score_gemma":0.0002243449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007265374,"about_ca_topic_score_gemma":0.006404109,"domain_scores_codex":[0.9999018,0.00002452141,0.00000792079,0.00002917599,0.00002186652,0.00001483757],"domain_scores_gemma":[0.9994942,0.0001513288,0.0001023937,0.00009821363,0.0001190891,0.00003489892],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002609908,0.00007950846,0.4733043,0.00007428133,0.0008375312,0.0001787424,0.0001585129,0.4514984,0.01004721,0.002185307,0.002618882,0.05875629],"study_design_scores_gemma":[0.00002058664,0.0001166506,0.4219205,0.00001882579,0.0002387303,0.00009949662,0.0001682353,0.5673442,0.003060319,0.003884803,0.003074259,0.00005349049],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989745,0.0001176568,0.00637704,0.0001621991,0.00001812707,0.000004720182,0.001368691,0.0001480897,0.002058548],"genre_scores_gemma":[0.9968686,0.00009386044,0.001800504,0.00002738877,0.000005863761,0.000007063608,0.001017459,0.00001569975,0.0001636161],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007265374,"threshold_uncertainty_score":0.01444614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0540496457311565,"score_gpt":0.3103832062349992,"score_spread":0.2563335605038427,"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."}}