{"id":"W2043499034","doi":"10.1139/f01-140","title":"Climate change and abundance cycles of two sympatric populations of smelt (<i>Osmerus mordax</i>) in the middle estuary of the St. Lawrence River, Canada","year":2001,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; University of Warwick; Agence Nationale de Sécurité Sanitaire de l’Alimentation, de l’Environnement et du Travail; U.S. Environmental Protection Agency","keywords":"Smelt; Estuary; Sympatric speciation; Abundance (ecology); Bay; Habitat; Population; Ecology; Shore; Geography; Shoal; Fishery; Environmental science; Oceanography; Biology; Geology; Fish <Actinopterygii>","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002903648,0.0001312633,0.0002152901,0.0005708005,0.0005609503,0.0005291853,0.0003384863,0.0002611059,0.0006605554],"category_scores_gemma":[0.0007537029,0.0001812834,0.0002031562,0.0005793069,0.0005491952,0.0001952892,0.0004283936,0.0002382658,0.0001019552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002979386,"about_ca_system_score_gemma":0.001418953,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6150761,"about_ca_topic_score_gemma":0.8476735,"domain_scores_codex":[0.9998195,0.00002505723,0.00001033585,0.00004907848,0.00003614898,0.00005991005],"domain_scores_gemma":[0.99926,0.00007565905,0.0001979235,0.00002742966,0.0002270806,0.0002118946],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008912825,0.00002406499,0.9955578,0.000006630601,0.00004678842,0.00004509255,0.0005349952,0.0001160929,0.001595642,0.00002933862,0.0002084671,0.001745947],"study_design_scores_gemma":[0.000001316176,0.000005671671,0.9996614,6.949186e-7,0.000003447261,0.000008402683,0.0001542852,0.00008982355,0.00002429717,0.000002639127,0.00004640817,0.000001550628],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997378,0.00001541326,0.00001304403,0.00001558675,0.000001121892,0.000001277513,0.0001245084,0.000001434997,0.00008986615],"genre_scores_gemma":[0.9995334,0.00001569709,0.00002449247,0.00001118017,0.000001202609,0.000002407344,0.0002877718,0.000001221485,0.0001225986],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3849239,"threshold_uncertainty_score":0.7743816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04116833268874524,"score_gpt":0.2240162896255859,"score_spread":0.1828479569368407,"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."}}