{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003456903,0.000143583,0.0002796868,0.0004262443,0.0002902732,0.0004384922,0.0001986078,0.0002183084,0.0004787472],"category_scores_gemma":[0.0007993059,0.0002116949,0.000197504,0.0002685548,0.0003714791,0.0003227348,0.0004912093,0.0001440853,0.00006268401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004113861,"about_ca_system_score_gemma":0.00024821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005348304,"about_ca_topic_score_gemma":0.009850898,"domain_scores_codex":[0.999848,0.00005040104,0.0000104696,0.00004266233,0.0000214069,0.00002698939],"domain_scores_gemma":[0.9994905,0.0001353311,0.0002060555,0.0000346914,0.00002844893,0.0001050131],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007775138,0.0001418426,0.8247766,0.00008732503,0.0002379044,0.0001183423,0.001032802,0.003199943,0.1602011,0.0001888715,0.00008250904,0.009155282],"study_design_scores_gemma":[0.000002794947,0.00007083447,0.9961447,0.000001568119,0.00001666078,0.00001319699,0.00008467917,0.003080058,0.0004998836,0.00003815647,0.00004207632,0.000005469925],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997663,0.00003229435,0.0001186336,0.000003702009,3.277677e-7,0.00000126642,0.00001428464,0.000002667856,0.00006059246],"genre_scores_gemma":[0.9997764,0.00001168415,0.0001292867,0.000002804632,7.652358e-7,0.000004103013,0.00001951643,0.00000181005,0.00005361301],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005348304,"threshold_uncertainty_score":0.0106343,"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."}}