{"id":"W2151589195","doi":"10.1093/icesjms/fsr062","title":"The trophic-level-based ecosystem modelling approach: theoretical overview and practical uses","year":2011,"lang":"en","type":"article","venue":"ICES Journal of Marine Science","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":88,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Sixth Framework Programme; University of British Columbia; Pew Charitable Trusts","keywords":"Trophic level; Ecosystem; Biomass (ecology); Fishing; Environmental science; Food web; Marine ecosystem; Ecosystem-based management; Ecology; Ecosystem model; Predation; Fishery; 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":[0.001352189,0.001018845,0.0006585719,0.001362439,0.0004544045,0.001849201,0.001562471,0.001557785,0.003566582],"category_scores_gemma":[0.001843622,0.0004172824,0.0009116135,0.001524739,0.0009272007,0.001951836,0.001728997,0.001539466,0.001236831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001074738,"about_ca_system_score_gemma":0.0007636594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00334782,"about_ca_topic_score_gemma":0.002337785,"domain_scores_codex":[0.9995425,0.0002725534,0.00002805282,0.00004040138,0.00008837787,0.0000282332],"domain_scores_gemma":[0.999615,0.000200965,0.00003081337,0.00005025564,0.00008075457,0.00002211393],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002175093,0.00006387816,0.002031303,0.0006861187,0.0001283179,0.0006213777,0.0003675661,0.203455,0.002438153,0.6729575,0.007652214,0.1095768],"study_design_scores_gemma":[0.00001198886,0.00007721292,0.0008777548,0.0005236747,0.00004888822,0.0004002952,0.0001958395,0.4385559,0.0005316974,0.5045517,0.05417077,0.0000541796],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.007693492,0.01760275,0.9415399,0.006290193,0.0002426993,0.00007563522,0.0002854394,0.0004018838,0.02586805],"genre_scores_gemma":[0.358267,0.04455975,0.5774035,0.001185779,0.0007507065,0.000793013,0.0004759401,0.0002786831,0.01628553],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.003566582,"threshold_uncertainty_score":0.01193142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1150149871766835,"score_gpt":0.2988050054229917,"score_spread":0.1837900182463082,"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."}}