{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002161708,0.00009684233,0.0001222561,0.00002922855,0.0001228916,0.0000304962,0.0001851054,0.00004565868,0.0002630929],"category_scores_gemma":[0.00005148819,0.00008177373,0.00001193891,0.0001263911,0.00006614708,0.0002222272,0.000449281,0.00007325347,0.00002147884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005123208,"about_ca_system_score_gemma":0.000004044158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000122772,"about_ca_topic_score_gemma":0.01314446,"domain_scores_codex":[0.999265,0.0000415481,0.0001229147,0.0003296412,0.00005294212,0.000187977],"domain_scores_gemma":[0.9996963,0.00004078188,0.00002259557,0.0001966278,0.000002896067,0.00004086196],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000025984,0.00009215705,0.975669,0.00001868032,0.00001159736,0.000001120656,0.001239144,0.00005237728,0.001260431,0.00004686633,0.01224409,0.00933852],"study_design_scores_gemma":[0.0002082425,0.00004519656,0.9907575,0.0000123511,0.000005327428,7.927873e-8,0.0002946162,0.001113842,0.0004258013,0.0009573497,0.006087807,0.00009187983],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9835651,0.00001715965,0.0005255527,0.001513408,0.00005290947,0.000401449,0.000007620295,0.00003422292,0.01388257],"genre_scores_gemma":[0.9965781,0.00001413294,0.0001771456,0.001748993,0.000007490122,0.00008527872,0.000006226976,0.000004195196,0.001378448],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01508847,"threshold_uncertainty_score":0.7334916,"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."}}