{"id":"W2097925243","doi":"10.1139/f01-138","title":"The functional response of drift-feeding Arctic grayling: the effects of prey density, water velocity, and location efficiency","year":2001,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Science Foundation","keywords":"Grayling; Predation; Current (fluid); Functional response; Biology; Ecology; Predator; Arctic; Environmental science; Oceanography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001314888,0.0001921692,0.0002225918,0.0001933141,0.0001382384,0.0001924085,0.0001258025,0.0001719177,0.000623157],"category_scores_gemma":[0.000455594,0.0001192644,0.0001205098,0.00007228115,0.0001719536,0.0001597912,0.0001806973,0.0001601156,0.00008405308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003786188,"about_ca_system_score_gemma":0.0001679298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006318477,"about_ca_topic_score_gemma":0.01212847,"domain_scores_codex":[0.9999524,0.000008257453,0.000004254405,0.00001417025,0.000009601239,0.00001124176],"domain_scores_gemma":[0.9998044,0.00003730637,0.00005534074,0.00001495762,0.00003357959,0.00005439886],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000880242,0.0001165401,0.111204,0.00009365772,0.00004586815,0.0001092939,0.0002696423,0.000742244,0.8802208,0.00005909026,0.00005313502,0.006205458],"study_design_scores_gemma":[0.00001143408,0.0006851345,0.9548312,0.00000728669,0.00003101509,0.0001415934,0.0002046352,0.002586704,0.04126351,0.00004220313,0.0001832638,0.00001204829],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998604,0.00002686231,0.0000333223,0.000002793562,3.012596e-7,8.714509e-7,0.00001265135,0.000001165052,0.0000614637],"genre_scores_gemma":[0.9994745,0.00003993079,0.0001718343,0.0000130242,7.351697e-7,0.000004705106,0.00005997174,0.000002126558,0.0002331161],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006318477,"threshold_uncertainty_score":0.01256341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01068284111140452,"score_gpt":0.1934863016457708,"score_spread":0.1828034605343663,"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."}}