{"id":"W3169922412","doi":"10.22541/au.162312317.76022973/v1","title":"Seasonal variation of brain size in a freshwater top predator","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Natural Resources and Forestry; University of Guelph; University of Toronto","funders":"","keywords":"Habitat; Cerebrum; Trout; Ecology; Predator; Biology; Apex predator; Trophic level; Lake ecosystem; Range (aeronautics); Ecosystem; Seasonality; Predation; Environmental science; Fishery; Central nervous system","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00009242783,0.0001293694,0.0001475018,0.0004601177,0.0002590933,0.0002340842,0.0001476954,0.000153834,0.0007111321],"category_scores_gemma":[0.0002313445,0.0001370549,0.0001237934,0.0002138068,0.0003193266,0.0001974403,0.0002674968,0.0001453534,0.00007179457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003059034,"about_ca_system_score_gemma":0.0001717386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006637311,"about_ca_topic_score_gemma":0.019865,"domain_scores_codex":[0.9999537,0.00000448969,0.000002516173,0.00001888331,0.00001144522,0.000008960692],"domain_scores_gemma":[0.9998268,0.00002065164,0.00008460878,0.00000687485,0.00002728634,0.00003378577],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005671947,0.00006106612,0.6271234,0.0000697882,0.0001544323,0.0002485054,0.001015336,0.0003071882,0.3622107,0.00006964964,0.0002227649,0.007949996],"study_design_scores_gemma":[6.921743e-7,0.00003166114,0.9993582,7.541759e-7,0.000004319357,0.00002535617,0.00004736832,0.00005283779,0.0004350859,0.000006196193,0.00003626767,0.000001314112],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995859,0.00004815534,0.00009445637,0.000006234198,0.000001047723,0.000003002771,0.0001108878,0.000005977415,0.000144264],"genre_scores_gemma":[0.9993733,0.00002862894,0.0001919905,0.00001260863,0.000001995568,0.00001333266,0.0001463503,0.000002819311,0.0002289321],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006637311,"threshold_uncertainty_score":0.01319736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007838401415651761,"score_gpt":0.2171077335847871,"score_spread":0.2092693321691353,"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."}}