{"id":"W4413901457","doi":"10.1101/2025.08.27.672400","title":"Live fast and die young: walleye populations adapt their life cycle to degraded lakes of the Canadian clay belt","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cégep de l'Abitibi Témiscamingue; Université du Québec à Chicoutimi; Université du Québec en Abitibi-Témiscamingue","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Groupe de recherche interuniversitaire en limnologie","keywords":"Geology; Oceanography; Art","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":[0.0001387017,0.0001401403,0.0001416458,0.0004067028,0.0009569479,0.0004856595,0.0002340633,0.0001430161,0.00125894],"category_scores_gemma":[0.0003339553,0.00008117173,0.0000964625,0.0003979215,0.0004215976,0.0002121471,0.0003213835,0.0001340787,0.0001178018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003006123,"about_ca_system_score_gemma":0.001669946,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6979079,"about_ca_topic_score_gemma":0.9114988,"domain_scores_codex":[0.9998939,0.000005553966,0.000002937035,0.00002210936,0.00002398784,0.00005148995],"domain_scores_gemma":[0.9997326,0.00001226522,0.00006904198,0.000009870656,0.0000968149,0.00007955062],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001562536,0.0000241523,0.9796539,0.00001569064,0.00002398731,0.0001081615,0.001233672,0.000132687,0.0125783,0.0000436257,0.0003042634,0.005725275],"study_design_scores_gemma":[5.845178e-7,0.000008640603,0.9993207,0.000001157801,0.000001696599,0.00001209387,0.0003686606,0.00005358591,0.0001047601,0.000004270793,0.0001223248,0.000001402835],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995338,0.00003353456,0.00002960796,0.00001491007,6.890624e-7,0.000002605792,0.0001457032,0.00000117833,0.0002380704],"genre_scores_gemma":[0.9991967,0.00002862563,0.00006509918,0.00001920207,8.646343e-7,0.000003131192,0.0002198779,0.000001188885,0.0004653378],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3020921,"threshold_uncertainty_score":0.6077424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01540033861918218,"score_gpt":0.2044423291785975,"score_spread":0.1890419905594153,"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."}}