{"id":"W4386100103","doi":"10.1371/journal.pone.0287570","title":"Trophic amplification: A model intercomparison of climate driven changes in marine food webs","year":2023,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; Memorial University of Newfoundland; University of British Columbia; Fisheries and Oceans Canada","funders":"Nuclear Safety and Security Commission; Région Bretagne; National Oceanic and Atmospheric Administration; University of British Columbia; University of Cambridge; National Aeronautics and Space Administration","keywords":"Trophic level; Biomass (ecology); Environmental science; Primary producers; Food web; Marine ecosystem; Apex predator; Ecosystem; Food chain; Primary production; Ecosystem model; Climate change; Greenhouse gas; Ecology; Oceanography; Phytoplankton; Atmospheric sciences; 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":[0.001521411,0.0008021937,0.0007527615,0.0005634119,0.0006351468,0.001062644,0.001349359,0.001321687,0.001333478],"category_scores_gemma":[0.003159872,0.0004726352,0.00173813,0.000591152,0.0006201489,0.001282908,0.001209488,0.001035991,0.0001094047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001172246,"about_ca_system_score_gemma":0.0007488214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02325494,"about_ca_topic_score_gemma":0.01134108,"domain_scores_codex":[0.9996399,0.0001735309,0.00002315509,0.00009125516,0.00002711937,0.00004498739],"domain_scores_gemma":[0.9986306,0.0008810954,0.0001486996,0.0001422248,0.000101108,0.00009626953],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000197784,0.0001153502,0.02342685,0.00004095263,0.0003258932,0.0001209774,0.0001206882,0.969745,0.001621225,0.001639407,0.0004328577,0.002212988],"study_design_scores_gemma":[0.00005799692,0.00007963314,0.005196491,0.000004613365,0.00005528038,0.00001286665,0.00004926535,0.9928215,0.0002617857,0.001208459,0.0002309414,0.0000211642],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943907,0.0001060983,0.003135581,0.0001937768,0.00002642989,0.000023051,0.0004137604,0.00007842516,0.001632223],"genre_scores_gemma":[0.9961184,0.00005954649,0.002973643,0.00006401182,0.00001519953,0.00004903143,0.0003625058,0.00003167431,0.0003259568],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02325494,"threshold_uncertainty_score":0.04623914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09189467854601548,"score_gpt":0.2625380342546603,"score_spread":0.1706433557086449,"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."}}