{"id":"W2887687464","doi":"10.1139/cjfas-2018-0008","title":"A dam passage performance standard model for American shad","year":2018,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Marine Fisheries Service; U.S. Geological Survey; U.S. Fish and Wildlife Service; National Oceanic and Atmospheric Administration; Mississippi Department of Marine Resources","keywords":"Alosa; Fish migration; Abundance (ecology); Population; Fishery; Environmental science; Habitat; Ecology; Geography; Fish <Actinopterygii>; Biology","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":[0.0007774734,0.0004718056,0.0004892036,0.0004716772,0.000473455,0.0005909314,0.001550263,0.0007635116,0.002668635],"category_scores_gemma":[0.00161087,0.0003166231,0.000633949,0.0003975567,0.0004350386,0.0005283756,0.0005573314,0.0006075282,0.0001956224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001446516,"about_ca_system_score_gemma":0.001410639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06026927,"about_ca_topic_score_gemma":0.04613701,"domain_scores_codex":[0.9997924,0.00007774969,0.00001337759,0.00005316352,0.00002942527,0.00003397102],"domain_scores_gemma":[0.9994087,0.0002599874,0.0001178903,0.00003190471,0.0001222781,0.0000591649],"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":[0.00001646483,0.00001575808,0.001762924,0.000004687217,0.000009069103,0.00002012671,0.00001280983,0.9957429,0.0002315491,0.001384519,0.0001145566,0.0006847096],"study_design_scores_gemma":[0.000008517974,0.00001224819,0.0005385117,0.00000130322,0.000006110537,0.000005656122,0.000007572497,0.9986917,0.00004621161,0.000525772,0.0001526763,0.000003692159],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.87175,0.0001258902,0.1109389,0.0004413931,0.00003678528,0.0001383041,0.002186951,0.0002730303,0.01410866],"genre_scores_gemma":[0.9833862,0.00007234498,0.01210946,0.00004897684,0.000008183648,0.0001457307,0.0006824536,0.0000274738,0.003519257],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06026927,"threshold_uncertainty_score":0.1198369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01862378484471749,"score_gpt":0.2260215369722584,"score_spread":0.2073977521275409,"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."}}