{"id":"W2914271986","doi":"10.1016/j.jglr.2019.01.007","title":"Status of Mysis diluviana in Lake Ontario in 2013: Lower abundance but higher fecundity than in the 1990s","year":2019,"lang":"en","type":"article","venue":"Journal of Great Lakes Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministry of Natural Resources and Forestry; Fisheries and Oceans Canada","funders":"Fisheries and Oceans Canada; U.S. Geological Survey; Great Lakes Fishery Commission; New York State Department of Environmental Conservation; U.S. Environmental Protection Agency","keywords":"Fecundity; Brood; Reproduction; Zooplankton; Biomass (ecology); Animal science; Environmental science; Biology; Hydrobiology; Abundance (ecology); Ecology; Fishery; Population; Demography; Aquatic environment","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0001586486,0.00009892294,0.0001438782,0.0005057616,0.0008083605,0.0005083208,0.0003673662,0.0002393913,0.001213189],"category_scores_gemma":[0.0003862186,0.0001294637,0.0001543348,0.0006041639,0.000388937,0.0003213434,0.0004896711,0.0001725977,0.0001458387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004664093,"about_ca_system_score_gemma":0.002751745,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8632014,"about_ca_topic_score_gemma":0.968691,"domain_scores_codex":[0.9999024,0.00000477464,0.000006371711,0.00001780601,0.0000306431,0.00003811853],"domain_scores_gemma":[0.9997233,0.000009796159,0.0001005646,0.000005815613,0.00008067486,0.00007987433],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005759831,0.00001031554,0.9952762,0.00002301641,0.00002062127,0.00009832155,0.001093143,0.00002967611,0.0009587541,0.00004855512,0.0003782406,0.002005624],"study_design_scores_gemma":[7.242099e-7,0.000004999408,0.9991202,0.00000316188,0.000004170378,0.0000234441,0.0004641253,0.00002515881,0.0000238601,0.000003813118,0.0003250999,0.000001295487],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998406,0.000128584,0.00001730869,0.00007905757,0.000002358007,0.000002596567,0.0006178632,0.000002086768,0.0007441117],"genre_scores_gemma":[0.9984654,0.00009549007,0.00002932072,0.00002740252,0.000001950027,0.000002802902,0.000323375,0.0000011781,0.001053201],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1367986,"threshold_uncertainty_score":0.2752085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03632404509703643,"score_gpt":0.3034267258148142,"score_spread":0.2671026807177778,"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."}}