{"id":"W3133478091","doi":"10.3996/jfwm-20-031","title":"A Three-Pass Electrofishing Removal Strategy Is Not Effective for Eradication of Prussian Carp in a North American Stream Network","year":2020,"lang":"en","type":"article","venue":"Journal of Fish and Wildlife Management","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Winnipeg; University of Alberta","funders":"","keywords":"Electrofishing; Carassius; Prussian blue; Carp; Fishery; Tributary; Invasive species; Population; Freshwater fish; Biology; Ecology; Fish <Actinopterygii>; Environmental science; Geography; Chemistry; Medicine","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":[0.0003045296,0.0001217052,0.0003001228,0.00005263512,0.00008733039,0.00001963874,0.0001664413,0.00002238457,0.00001538168],"category_scores_gemma":[0.00002625682,0.00009931186,0.0000665399,0.0003494991,0.0001118685,0.00017882,0.000129297,0.0001315236,0.000001248867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007624376,"about_ca_system_score_gemma":0.000005813311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006634913,"about_ca_topic_score_gemma":0.003681357,"domain_scores_codex":[0.998966,0.00003998358,0.0003603138,0.0001987566,0.0001937787,0.0002411205],"domain_scores_gemma":[0.9993465,0.0000599889,0.0004242821,0.0000783307,0.00001159998,0.00007932552],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005193447,0.0001179184,0.5768313,0.0001188079,0.0003487326,0.00005315184,0.0006242488,0.003198464,0.00001035856,0.0001914509,0.3671078,0.05087832],"study_design_scores_gemma":[0.0008769438,0.0009780349,0.9729266,0.00002159722,0.0001091271,0.000003162215,0.0002799136,0.001303474,0.00001343991,0.0002290691,0.02315142,0.0001072576],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9480051,0.00002004196,0.003603116,0.04497579,0.00006400114,0.0009203817,0.000008558311,0.000009556023,0.002393491],"genre_scores_gemma":[0.9706362,0.0003092051,0.002272218,0.02661461,0.0001006928,0.00002946039,0.000002530029,0.000008925992,0.0000260902],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3960952,"threshold_uncertainty_score":0.404982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009027174123259367,"score_gpt":0.2206091995822337,"score_spread":0.2115820254589744,"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."}}