{"id":"W4220664940","doi":"10.1002/lno.12055","title":"Internal seiches as drivers of fish depth use in lakes","year":2022,"lang":"en","type":"article","venue":"Limnology and Oceanography","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto; Environment and Climate Change Canada; Fisheries and Oceans Canada; Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Fisheries and Oceans Canada; Environment and Climate Change Canada","keywords":"Hypolimnion; Water column; Seiche; Thermocline; Upwelling; Oceanography; Environmental science; Hypoxia (environmental); Shoaling and schooling; Diel vertical migration; Hydrology (agriculture); Plankton; Population; Internal wave; Fishery; Geology; Ecology; Oxygen; Eutrophication; Biology; Chemistry","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":[0.0001701866,0.0001428456,0.0001599235,0.0004120621,0.0003653684,0.00053273,0.0001451281,0.0002025295,0.001227741],"category_scores_gemma":[0.0007420803,0.0001513343,0.0001592818,0.0003942399,0.0003345164,0.0002433546,0.0006330602,0.0001712721,0.00008205325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006057742,"about_ca_system_score_gemma":0.0003756743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04618977,"about_ca_topic_score_gemma":0.1529412,"domain_scores_codex":[0.9998938,0.00001598806,0.000006754243,0.00002902907,0.00002206994,0.00003231163],"domain_scores_gemma":[0.9994118,0.0001022047,0.0002924297,0.00002473434,0.00005954763,0.0001092499],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002803611,0.000005603246,0.9973604,0.000003760306,0.00001577043,0.00002895489,0.000200145,0.0001142017,0.001324116,0.00002283044,0.0000292027,0.000867011],"study_design_scores_gemma":[2.811147e-7,0.000006706109,0.9996007,8.22285e-7,0.000002141809,0.000006151947,0.0001184045,0.0001971171,0.0000350301,0.000006501991,0.0000254163,7.52175e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997746,0.00001132718,0.00003089719,0.000006298175,3.029681e-7,0.000001099394,0.00004437466,0.000001519117,0.0001294727],"genre_scores_gemma":[0.9998069,0.000009154338,0.00002658977,0.000002068278,6.080018e-7,0.000001454564,0.00004207299,6.84418e-7,0.0001105222],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04618977,"threshold_uncertainty_score":0.09184182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008376000348815409,"score_gpt":0.1987083000934967,"score_spread":0.1903322997446813,"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."}}