{"id":"W2034403083","doi":"10.1577/m10-023.1","title":"The Bioenergetic Consequences of Invasive-Induced Food Web Disruption to Lake Ontario Alewives","year":2010,"lang":"en","type":"article","venue":"North American Journal of Fisheries Management","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Ministry of Natural Resources and Forestry","funders":"Natural Sciences and Engineering Research Council of Canada; U.S. Geological Survey; Great Lakes Fishery Commission","keywords":"Alewife; Bioenergetics; Zooplankton; Food web; Predation; Biology; Biomass (ecology); Animal science; Population; Forage fish; Ecology; Fishery; Demography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0002071471,0.0002833769,0.0002059469,0.0002502669,0.0004764459,0.0004865115,0.0003804292,0.0002717374,0.0006792716],"category_scores_gemma":[0.0007972262,0.0001920778,0.0004281809,0.0002330623,0.0004573151,0.0002085653,0.0005142498,0.0002517008,0.00007174886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006001721,"about_ca_system_score_gemma":0.001524216,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4600328,"about_ca_topic_score_gemma":0.5978983,"domain_scores_codex":[0.9998795,0.00001520837,0.000007719438,0.00002510624,0.00003979939,0.00003259649],"domain_scores_gemma":[0.9995679,0.00004324664,0.0001786557,0.00003302171,0.0001065479,0.00007064782],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005752234,0.0000781498,0.9249736,0.00005067339,0.0002323082,0.0002500092,0.0004015566,0.01686614,0.05171549,0.0001943697,0.0003410261,0.004321365],"study_design_scores_gemma":[0.000007246264,0.00008882428,0.990184,0.000002884355,0.00002179431,0.00003488162,0.0002088963,0.007492434,0.001510132,0.00005845902,0.000381824,0.000008474455],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999512,0.00001466474,0.0001055443,0.00001489145,6.811561e-7,0.000002942444,0.0001348131,0.000004344319,0.0002102004],"genre_scores_gemma":[0.9994031,0.00001800318,0.00008792883,0.00001135278,4.427647e-7,0.0000052071,0.0002335167,0.000001486816,0.0002389235],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5399672,"threshold_uncertainty_score":0.9147102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009791350118134281,"score_gpt":0.2057136357131743,"score_spread":0.19592228559504,"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."}}