{"id":"W4409088111","doi":"10.1111/oik.10528","title":"Animal movement in space and time: the role of thermal barriers and individual variation in modulating predator–prey overlap in stratified lakes","year":2025,"lang":"en","type":"article","venue":"Oikos","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministère de l’Environnement, de la Lutte contre les changements climatiques, de la Faune et des Parcs; Ministère des Ressources naturelles et des Forêts; Université du Québec à Trois-Rivières","funders":"Natural Sciences and Engineering Research Council of Canada; Université du Québec à Trois-Rivières","keywords":"Zooplankton; Habitat; Predation; Ecology; Salvelinus; Environmental science; Diel vertical migration; Foraging; Ecosystem; Limnetic zone; Benthic zone; Littoral zone; Fishery; Biology; Fish <Actinopterygii>; Trout","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003246116,0.00005416931,0.00007886477,0.00003687746,0.00004402674,0.000009848463,0.00005766431,0.00003286499,0.00009322174],"category_scores_gemma":[0.00004333479,0.0000451561,0.000004853372,0.0001175701,0.00007723474,0.0001075812,0.0001824803,0.00006354272,9.600021e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002945795,"about_ca_system_score_gemma":0.000004817493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000346014,"about_ca_topic_score_gemma":0.006105247,"domain_scores_codex":[0.9995224,0.0000553234,0.0001183569,0.0001331494,0.00006946048,0.000101267],"domain_scores_gemma":[0.9998413,0.00005438338,0.00003511718,0.00005875481,0.000001134219,0.000009301102],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002353856,0.00002295888,0.9878647,0.000006788667,0.000009636031,6.91301e-7,0.002385606,0.001155269,0.006221515,0.001509689,0.00005227118,0.0007473701],"study_design_scores_gemma":[0.0003388744,0.0000280435,0.9878422,0.00001224502,0.000005175649,3.09533e-8,0.001478382,0.007758524,0.0003337371,0.002149633,0.00001488891,0.00003823735],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869751,0.00003404996,0.000002955286,0.0003556561,0.000009747057,0.0002191964,0.000002959292,0.000003150853,0.01239715],"genre_scores_gemma":[0.9996766,0.00001136431,0.00006084669,0.0001310993,0.000002004894,0.00002210396,9.711204e-7,0.000001675475,0.00009334694],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01270145,"threshold_uncertainty_score":0.3406871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004189821938400397,"score_gpt":0.1948506555009334,"score_spread":0.190660833562533,"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."}}