{"id":"W4415029355","doi":"10.1002/eap.70103","title":"Non‐native prey availability and over‐compensatory density dependence drive population dynamics of a native fish predator","year":2025,"lang":"en","type":"article","venue":"Ecological Applications","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of British Columbia","funders":"Wyoming-Montana Water Science Center; Bonneville Power Administration; U.S. Geological Survey","keywords":"Trout; Predation; Threatened species; Population; Biomass (ecology); Habitat; Fishing; Oncorhynchus; Forage fish","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002134813,0.0001041959,0.000181566,0.00002912235,0.0002960953,0.00000757145,0.0001685325,0.00009939516,0.0004805336],"category_scores_gemma":[0.000124498,0.00009464168,0.00003144959,0.0002369375,0.0004716163,0.000115395,0.0005333301,0.0001229225,0.00002022452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002402533,"about_ca_system_score_gemma":0.000008203122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007663341,"about_ca_topic_score_gemma":0.01331887,"domain_scores_codex":[0.9991027,0.00005445106,0.0002164972,0.0003859161,0.00009955535,0.0001409193],"domain_scores_gemma":[0.9993508,0.0002736121,0.0001239783,0.0001918418,0.00002447237,0.00003531921],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001200819,0.0002472916,0.9855158,0.00001587094,0.00003010577,3.391914e-7,0.00009041723,0.00006352315,0.0000271386,0.01176342,0.00183287,0.0004012687],"study_design_scores_gemma":[0.0001584524,0.00004567744,0.9725028,0.000003304769,0.00003104176,1.849771e-7,0.0001040438,0.002051342,0.00006766184,0.0246913,0.0002643794,0.00007975996],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9785073,0.000004055303,0.004380667,0.0007538075,0.0000286812,0.00108729,0.00003543055,0.00003715607,0.01516557],"genre_scores_gemma":[0.9975293,0.00001875113,0.000986569,0.000492298,0.000004612988,0.0004294889,0.00002726248,0.00000232361,0.0005093818],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01902197,"threshold_uncertainty_score":0.7432241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007099388256869324,"score_gpt":0.2390816645003082,"score_spread":0.2319822762434389,"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."}}