{"id":"W2586175060","doi":"10.1139/cjfas-2016-0331","title":"Development of a foraging model framework to reliably estimate daily food consumption by young fishes","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Army Corps of Engineers; U.S. Geological Survey; U.S. Fish and Wildlife Service; South Dakota State University","keywords":"Foraging; Predation; Zooplankton; Biology; Functional response; Ecology; Piscivore; Food consumption; Oncorhynchus; Chironomidae; Fish <Actinopterygii>; Fishery; Environmental science; Predator; Larva","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":[0.0006868846,0.0006182725,0.0006016401,0.0003967856,0.0004029292,0.0006383482,0.001477452,0.0007366469,0.001386167],"category_scores_gemma":[0.001672375,0.000542334,0.0008096271,0.0002475402,0.0002798868,0.0006299273,0.0007329796,0.0006940697,0.0003273636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00088107,"about_ca_system_score_gemma":0.002150505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03390338,"about_ca_topic_score_gemma":0.02031508,"domain_scores_codex":[0.9998852,0.00002739079,0.0000121028,0.00003211718,0.00002754515,0.00001564401],"domain_scores_gemma":[0.9996274,0.0001535744,0.00005736851,0.00002837836,0.0001094228,0.00002400755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000007145277,0.00001279504,0.001304,0.00001479511,0.00002267071,0.00002450143,0.0000194309,0.9918076,0.0009307493,0.002321495,0.000152904,0.003381965],"study_design_scores_gemma":[0.000002546155,0.000004682899,0.0002135902,0.000002356754,0.000004275302,0.000005728739,0.000002565048,0.9989095,0.00008862979,0.0005963821,0.0001660543,0.000003703065],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07359304,0.0001452569,0.9219589,0.0001475279,0.0000207669,0.0000741827,0.0004243603,0.0006689451,0.002967025],"genre_scores_gemma":[0.6670561,0.0002546159,0.327942,0.00006848895,0.00002942071,0.0005150955,0.000578923,0.0002301447,0.003325132],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03390338,"threshold_uncertainty_score":0.06741208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02941365988980537,"score_gpt":0.2499745351916535,"score_spread":0.2205608753018481,"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."}}