{"id":"W4409570066","doi":"10.1002/oik.11066","title":"Spatially‐explicit foraging by an apex predator linked to nearshore prey and their accessibility in lakes","year":2025,"lang":"en","type":"article","venue":"Oikos","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; International Institute for Sustainable Development; Queen's University","funders":"Fisheries and Oceans Canada; Mitacs; Queen's University; Lakehead University; Ministry of Natural Resources","keywords":"Forage fish; Foraging; Littoral zone; Predation; Pelagic zone; Habitat; Trout; Predatory fish; Environmental science; Ecology; Apex predator; Food web; Salvelinus; Fishery; Biology; 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":[0.0001480141,0.0001539882,0.0002272114,0.0005592456,0.0004394817,0.0004941461,0.0001815122,0.000226867,0.0008377754],"category_scores_gemma":[0.0006137631,0.0002172124,0.0002728119,0.0004686509,0.0003814812,0.0003870147,0.0008400276,0.0001370658,0.00008396577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004252312,"about_ca_system_score_gemma":0.0002983846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01800292,"about_ca_topic_score_gemma":0.06443212,"domain_scores_codex":[0.9998927,0.00001603342,0.000008593212,0.00003977188,0.0000163421,0.00002656911],"domain_scores_gemma":[0.9996649,0.00006363886,0.0001578084,0.00002146242,0.00002793174,0.00006433512],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001286327,0.00002435097,0.9773245,0.00003006829,0.00008049331,0.00009430926,0.0008803862,0.000896794,0.0181188,0.00006177313,0.00005190689,0.002307882],"study_design_scores_gemma":[0.00000112913,0.00001478979,0.998715,0.000001901207,0.00001061329,0.00002072928,0.0001722868,0.0008624318,0.0001422425,0.00002078881,0.00003483466,0.000003189682],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999793,0.00001343178,0.00007172957,0.000002673541,2.387726e-7,7.110603e-7,0.00002997059,0.000001992351,0.00008631799],"genre_scores_gemma":[0.9997231,0.000007592305,0.0001263715,0.00000271687,7.153731e-7,0.000002832006,0.00006071414,0.000001261936,0.00007460963],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01800292,"threshold_uncertainty_score":0.03579628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009825223046112882,"score_gpt":0.2494498274458051,"score_spread":0.2396246043996922,"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."}}