{"id":"W3201969853","doi":"10.1002/ece3.8179","title":"Seasonal variation of behavior and brain size in a freshwater fish","year":2021,"lang":"en","type":"article","venue":"Ecology and Evolution","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Natural Resources and Forestry; University of Guelph; University of Toronto","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Habitat; Trout; Salvelinus; Ecology; Seasonality; Range (aeronautics); Lake ecosystem; Ecosystem; Biology; Brain size; Environmental science; Foraging; Fishery; Fish <Actinopterygii>","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0001022109,0.0001154008,0.0001040997,0.0003452624,0.0002882,0.0002294496,0.000151525,0.0001837599,0.001062266],"category_scores_gemma":[0.0001936025,0.000148216,0.0001599626,0.0002452848,0.0003921072,0.0002313569,0.0003535075,0.0001277432,0.0001446808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000305023,"about_ca_system_score_gemma":0.000249764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008340265,"about_ca_topic_score_gemma":0.029835,"domain_scores_codex":[0.9999505,0.000005167994,0.000002729321,0.00002232796,0.000009079172,0.00001016152],"domain_scores_gemma":[0.9998573,0.0000169405,0.00006894545,0.00001176878,0.00001743013,0.00002768402],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002222475,0.00004671359,0.4595731,0.00007600682,0.0001310604,0.0001820363,0.0006860245,0.0005414029,0.5209689,0.0002745851,0.0003057413,0.01699224],"study_design_scores_gemma":[9.591467e-7,0.00002743432,0.9989342,0.000001070295,0.000004925922,0.00003069116,0.00004833976,0.00009951515,0.0007177494,0.00002943337,0.000103493,0.000002100601],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986076,0.00007883371,0.0005549253,0.00001827563,0.000002168714,0.000004210332,0.0001680739,0.00001665392,0.0005494222],"genre_scores_gemma":[0.9989582,0.00002781476,0.0004718836,0.0000174922,0.000002492271,0.00001190953,0.0001128263,0.000005205105,0.0003921022],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008340265,"threshold_uncertainty_score":0.01658344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005066065248355934,"score_gpt":0.2008309655195525,"score_spread":0.1957649002711966,"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."}}