{"id":"W2058575952","doi":"10.1016/j.jglr.2014.01.010","title":"The relative impacts of nutrient loads and invasive species on a Great Lakes food web: An Ecopath with Ecosim analysis","year":2014,"lang":"en","type":"article","venue":"Journal of Great Lakes Research","topic":"Aquatic Invertebrate Ecology and Behavior","field":"Environmental Science","cited_by":61,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Alewife; Environmental science; Food web; Biomass (ecology); Trophic level; Nutrient; Ecology; Fishery; Biology; Fish <Actinopterygii>","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002337541,0.0001472138,0.0003681829,0.0002522136,0.0004572421,0.00006813476,0.0003610305,0.00009352245,0.001114444],"category_scores_gemma":[0.0004329023,0.00007664091,0.0001057383,0.0007013368,0.001129504,0.0003874896,0.0001103929,0.0005079721,0.00004800074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001858592,"about_ca_system_score_gemma":0.00009012715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000380076,"about_ca_topic_score_gemma":0.01210013,"domain_scores_codex":[0.9974328,0.0007057071,0.0003718085,0.0002141471,0.0008899911,0.000385553],"domain_scores_gemma":[0.9979634,0.001066439,0.0003005479,0.0002931704,0.0001458599,0.0002306413],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000962091,0.0003138611,0.9879448,0.00001340869,0.000412654,0.00006836153,0.002111846,0.0002453424,0.003400615,0.001074556,0.001837742,0.001614655],"study_design_scores_gemma":[0.001578236,0.0161168,0.9613197,0.0001017318,0.0004287095,0.00009119781,0.001705153,0.001453524,0.01285761,0.002706896,0.001429768,0.0002106858],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961469,0.00005880199,0.00006589777,0.0006339909,0.00003007831,0.0001812573,0.00001307932,0.000003107416,0.002866891],"genre_scores_gemma":[0.99859,0.0001807664,0.0001302763,0.00003421397,0.00005026822,0.000005495664,0.000001734732,0.000009671761,0.0009975826],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02662518,"threshold_uncertainty_score":0.9997987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03699176588867106,"score_gpt":0.2966114828888194,"score_spread":0.2596197170001484,"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."}}