{"id":"W3210937027","doi":"10.3354/esr01161","title":"Seasonal consumption of terrestrial prey by a threatened stream fish is influenced by riparian vegetation","year":2021,"lang":"en","type":"article","venue":"Endangered Species Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Fisheries and Oceans Canada","funders":"Fisheries and Oceans Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Predation; Riparian zone; Terrestrial ecosystem; Ecology; Threatened species; Habitat; Biology; Environmental science; Ecosystem","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":[0.0001549337,0.0001312709,0.0001780483,0.0005464897,0.0002006451,0.0002994624,0.0001310247,0.0001721085,0.001127794],"category_scores_gemma":[0.000479579,0.0001345592,0.0001821008,0.0002693471,0.0002753707,0.0001728387,0.0003011215,0.0001580305,0.0001759079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001969473,"about_ca_system_score_gemma":0.0001276649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00351117,"about_ca_topic_score_gemma":0.01338988,"domain_scores_codex":[0.9999236,0.00001286476,0.000008129501,0.00002534261,0.00001230133,0.00001776371],"domain_scores_gemma":[0.9995408,0.00006360954,0.0002306741,0.00001900627,0.00004104873,0.0001049594],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000266236,0.00003768844,0.9664921,0.00002752579,0.00005191144,0.0001755992,0.0002267699,0.0001262616,0.02851357,0.00001533195,0.00006153211,0.004005577],"study_design_scores_gemma":[8.279742e-7,0.00003775953,0.9996722,0.000001061544,0.000004655857,0.00003496671,0.00005454594,0.00007064763,0.00009872823,0.000005195589,0.00001836686,0.000001146397],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998022,0.00001460279,0.00001903274,0.000003016645,3.015502e-7,9.195203e-7,0.00002575365,0.000001655626,0.0001325753],"genre_scores_gemma":[0.9996052,0.00002805975,0.00007808413,0.000009612727,0.00000121891,0.000004043153,0.00009939955,0.000001748837,0.0001726836],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00351117,"threshold_uncertainty_score":0.006981432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04603038427052761,"score_gpt":0.3130647206338052,"score_spread":0.2670343363632776,"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."}}