{"id":"W4223498478","doi":"10.1002/wat2.1590","title":"Food web perspectives and methods for riverine fish conservation","year":2022,"lang":"en","type":"article","venue":"Wiley Interdisciplinary Reviews Water","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Food web; Trophic level; Ecology; Context (archaeology); Habitat; Fisheries management; Ecosystem; Fishery; Environmental resource management; Biology; Environmental science; Fishing","routes":{"ca_aff":true,"ca_fund":false,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001248998,0.0001544469,0.0003455566,0.0000503982,0.0004751329,0.00001979066,0.0002583035,0.00002989213,0.007618304],"category_scores_gemma":[0.0000369592,0.0001115895,0.0001487538,0.0001178396,0.0001792172,0.0001775906,0.002450044,0.0001376011,0.00008766601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002024849,"about_ca_system_score_gemma":0.000004023251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000471502,"about_ca_topic_score_gemma":0.0001260978,"domain_scores_codex":[0.9984221,0.0004583823,0.0003444029,0.0004316054,0.00008770384,0.000255743],"domain_scores_gemma":[0.999481,0.00008067484,0.00009628278,0.0002841129,0.000009691807,0.00004827539],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007725651,0.00120454,0.0599548,0.0004181026,0.000553121,0.00002684496,0.06945987,0.00091709,0.08450235,0.0008192669,0.5025609,0.2788106],"study_design_scores_gemma":[0.0003907822,0.001063743,0.002518392,0.00001587523,0.00009125278,0.00005313493,0.001395558,0.00328976,0.0007143379,0.004588751,0.9856173,0.0002611037],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.960602,0.003497964,0.006869064,0.01835802,0.0005851958,0.002793454,0.00009486145,0.00008094125,0.007118542],"genre_scores_gemma":[0.9239435,0.002109273,0.05897672,0.004110482,0.0001809472,0.00375091,0.0001855311,0.00007264966,0.006669983],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4830564,"threshold_uncertainty_score":0.9932889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02259537338428186,"score_gpt":0.3319474930505999,"score_spread":0.309352119666318,"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."}}