{"id":"W2022934757","doi":"10.1890/06-1417.1","title":"UNDERSTANDING UNCERTAINTY IN THE EFFECT OF LOW‐HEAD DAMS ON FISHES OF GREAT LAKES TRIBUTARIES","year":2007,"lang":"en","type":"article","venue":"Ecological Applications","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"U.S. Geological Survey; Michigan Department of Natural Resources; University of Guelph; Great Lakes Fishery Commission","keywords":"Tributary; Ecology; Head (geology); Fishery; Geography; Environmental science; Biology; Paleontology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0161791,0.0004012362,0.0004456709,0.0009971443,0.0004656843,0.001224618,0.001043181,0.0008232323,0.0005572798],"category_scores_gemma":[0.07279071,0.0004262662,0.0007423395,0.0005312349,0.002014387,0.001874693,0.001500851,0.0008331743,0.00008181635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001165571,"about_ca_system_score_gemma":0.001133099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02208232,"about_ca_topic_score_gemma":0.03604279,"domain_scores_codex":[0.9916465,0.005588585,0.0004718439,0.0009652678,0.001034508,0.0002934788],"domain_scores_gemma":[0.9241548,0.06090771,0.008792083,0.002508525,0.003036956,0.0005998979],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001363264,0.00003496333,0.964112,0.0001298666,0.0006637682,0.000114411,0.001727588,0.006947685,0.0007235233,0.0009497189,0.000208596,0.02425135],"study_design_scores_gemma":[0.000007093839,0.0001437443,0.984646,0.00007237026,0.0001487142,0.00005021052,0.000959574,0.01000238,0.0003424437,0.003059675,0.0005399462,0.00002776585],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944166,0.0008622461,0.003030496,0.0005205718,0.00001245088,0.00001450337,0.0001178536,0.000009518746,0.001015645],"genre_scores_gemma":[0.998951,0.0001512988,0.0007315422,0.00005629037,0.00001097515,0.000008977123,0.00004036657,0.000001786137,0.00004769671],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02208232,"threshold_uncertainty_score":0.08556426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0348607518079834,"score_gpt":0.2746976098663874,"score_spread":0.239836858058404,"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."}}