{"id":"W2980095868","doi":"10.1111/1365-2664.13522","title":"Pop‐off data storage tags reveal niche partitioning between native and non‐native predators in a novel ecosystem","year":2019,"lang":"en","type":"article","venue":"Journal of Applied Ecology","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Natural Resources and Forestry; University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Natural Resources and Forestry; Great Lakes Fishery Commission","keywords":"Chinook wind; Oncorhynchus; Trout; Salvelinus; Fishery; Niche; Foraging; Forage fish; Ecology; Predation; Optimal foraging theory; Introduced species; Habitat; Ecological niche; Rainbow trout; Biology; Fish <Actinopterygii>","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":[0.0001938384,0.0001625647,0.0001393158,0.0005366543,0.0005524763,0.0005043069,0.0001502305,0.0001852996,0.001011425],"category_scores_gemma":[0.0004100212,0.0001454072,0.0001338188,0.0005943935,0.0003389715,0.0002549965,0.0004578775,0.000133242,0.0001916665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009687666,"about_ca_system_score_gemma":0.0004621996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1238314,"about_ca_topic_score_gemma":0.3913759,"domain_scores_codex":[0.9998863,0.000006998123,0.000005638368,0.00003751486,0.000028516,0.00003514767],"domain_scores_gemma":[0.9995365,0.00006933192,0.0001514318,0.00003169912,0.0001098092,0.0001011665],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001619366,0.000015319,0.9574938,0.00002018026,0.00002400338,0.00008987805,0.0007530262,0.000177663,0.03705618,0.0000342255,0.0001339667,0.004039806],"study_design_scores_gemma":[8.89912e-7,0.00002418159,0.9978547,0.000001630217,0.000005056569,0.00003967419,0.0005887692,0.0004633016,0.0008052685,0.00001381776,0.0001995002,0.000003128129],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992199,0.00001055267,0.0002230785,0.000005544123,5.604916e-7,0.000002995106,0.0002885845,0.000005602974,0.000243191],"genre_scores_gemma":[0.9987275,0.00001060088,0.00048968,0.000009610122,6.359149e-7,0.000008038828,0.0003861585,0.000003262101,0.0003645647],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1238314,"threshold_uncertainty_score":0.2462212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01517490395587343,"score_gpt":0.2381286183224059,"score_spread":0.2229537143665325,"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."}}