{"id":"W1905615458","doi":"10.1002/rra.1566","title":"ECOHYDRAULIC ANALYSIS OF FISH FATIGUE DATA","year":2011,"lang":"en","type":"article","venue":"River Research and Applications","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Trout; Fish <Actinopterygii>; Range (aeronautics); Environmental science; Culvert; Diversity of fish; Ecology; Fishery; Biology; Statistics; Mathematics; Engineering; Geotechnical engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001021305,0.0003967616,0.0002819332,0.004852107,0.0001349525,0.000284256,0.000221546,0.0001447874,0.003088981],"category_scores_gemma":[0.004670074,0.0000877244,0.0003659131,0.003007697,0.0001436327,0.0003001739,0.0003109005,0.0001976507,0.0009754857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003138803,"about_ca_system_score_gemma":0.0002638612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002200171,"about_ca_topic_score_gemma":0.002383314,"domain_scores_codex":[0.9992784,0.00009824469,0.0001305598,0.0001390412,0.0003040698,0.00004964882],"domain_scores_gemma":[0.9960717,0.001247594,0.0008413865,0.0003495688,0.001426991,0.00006277455],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001218231,0.0002638241,0.5429081,0.00101669,0.0004754407,0.0005825533,0.0008827773,0.04104554,0.0739113,0.002041438,0.006037482,0.3296167],"study_design_scores_gemma":[0.00002005852,0.000548402,0.9066793,0.00004234955,0.00005368521,0.0003863898,0.0002896866,0.05700775,0.02215325,0.0007573121,0.01199465,0.00006712405],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8780816,0.0003793559,0.06978509,0.00004296131,0.00002850017,0.0004029402,0.04236124,0.002817895,0.006100504],"genre_scores_gemma":[0.9457853,0.0001404027,0.02447663,0.0000225329,0.00001282735,0.000625124,0.02688489,0.0001841248,0.001868118],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004852107,"threshold_uncertainty_score":0.01033366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2011100423733578,"score_gpt":0.3698587550094469,"score_spread":0.1687487126360891,"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."}}