{"id":"W2891843365","doi":"10.1002/lno.11032","title":"Individual‐based modeling explains the contrasted seasonality in size, growth, and reproduction of the sympatric Arctic (<scp><i>Thysanoessa raschii</i></scp>) and Nordic krill (<scp><i>Meganyctiphanes norvegica</i></scp>) in the St. Lawrence Estuary, eastern Canada","year":2018,"lang":"en","type":"article","venue":"Limnology and Oceanography","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Rimouski; Fisheries and Oceans Canada; Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Krill; Pelagic zone; Euphausiacea; Biology; Phytoplankton; Ecology; Food web; Oceanography; Population; Zooplankton; Euphausia; Predation","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":[0.0002472032,0.0002660433,0.0002415801,0.0002414935,0.0004618847,0.0005963834,0.0007026765,0.0003993593,0.0009274371],"category_scores_gemma":[0.0006692296,0.0002326316,0.0003227926,0.0002744256,0.0003548392,0.0003016988,0.0003031344,0.0002832324,0.000120575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00241017,"about_ca_system_score_gemma":0.001945057,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4317448,"about_ca_topic_score_gemma":0.4604438,"domain_scores_codex":[0.9999403,0.00001333751,0.00000239823,0.00001652686,0.000006566143,0.00002095616],"domain_scores_gemma":[0.9997895,0.00007067587,0.00004076717,0.00001550377,0.00004127373,0.00004228911],"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":[0.0000337966,0.00003862661,0.04400674,0.00001109676,0.00005719296,0.00005389681,0.00008249046,0.9498156,0.00166018,0.001522189,0.000265059,0.002453136],"study_design_scores_gemma":[0.000005082577,0.000009538378,0.01258492,0.000001917174,0.00001396863,0.000008906752,0.00004607792,0.9867254,0.0001104792,0.0003496371,0.000138491,0.00000564282],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937069,0.00002930695,0.004627761,0.00008241512,0.000004385112,0.00000500616,0.0001383268,0.00002271689,0.001383193],"genre_scores_gemma":[0.9984539,0.00002236016,0.0008305543,0.000009170582,0.000001515673,0.000005048895,0.00004804822,0.000006329316,0.0006229986],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5682552,"threshold_uncertainty_score":0.8584635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01235604526235213,"score_gpt":0.2095652577736065,"score_spread":0.1972092125112544,"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."}}