{"id":"W3135192324","doi":"10.1111/gcb.15576","title":"Climate‐induced decrease in biomass flow in marine food webs may severely affect predators and ecosystem production","year":2021,"lang":"en","type":"article","venue":"Global Change Biology","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Fisheries and Oceans Canada","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; Nippon Foundation","keywords":"Trophic level; Biomass (ecology); Environmental science; Food web; Ecosystem; Marine ecosystem; Climate change; Primary producers; Primary production; Ecology; Apex predator; Ecosystem services; Greenhouse gas; Ecosystem model; Phytoplankton; Biology; Nutrient","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":[0.0002413069,0.000277128,0.0001395051,0.0003079344,0.0002371095,0.0005347981,0.0002088094,0.0003907545,0.001013531],"category_scores_gemma":[0.0005857979,0.0001605579,0.0006088873,0.0005031866,0.0002391146,0.0005563375,0.0003321515,0.0002539232,0.0001073584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000639235,"about_ca_system_score_gemma":0.0004435485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007935092,"about_ca_topic_score_gemma":0.007072108,"domain_scores_codex":[0.9999496,0.00001332093,0.00000410821,0.00001137833,0.00001046801,0.0000111533],"domain_scores_gemma":[0.9998522,0.00004988646,0.00005547824,0.00001498449,0.00001641959,0.00001109017],"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":[0.0001571882,0.0001108561,0.467457,0.0001108025,0.000322691,0.0004244731,0.0001024355,0.4737271,0.02893438,0.007619497,0.0007441575,0.02028941],"study_design_scores_gemma":[0.0000239396,0.00009872228,0.6259667,0.00002094783,0.00009585973,0.0001652691,0.000135449,0.3619596,0.004766805,0.005043753,0.001683685,0.00003932478],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941451,0.0001158267,0.003616367,0.0001025275,0.000009363254,0.000006106956,0.0003736135,0.00004747603,0.001583516],"genre_scores_gemma":[0.9985026,0.0001307697,0.0009532289,0.00001887307,0.000002907921,0.000006866223,0.0002106625,0.000005552795,0.0001685621],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007935092,"threshold_uncertainty_score":0.01577783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03612934822543599,"score_gpt":0.274785175341109,"score_spread":0.238655827115673,"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."}}