{"id":"W2145380083","doi":"10.1111/j.1467-2979.2011.00445.x","title":"A quantitative assessment of fish passage efficiency","year":2011,"lang":"en","type":"article","venue":"Fish and Fisheries","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":486,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Weir; Fishery; Fish <Actinopterygii>; Upstream (networking); Environmental science; Habitat; Fragmentation (computing); Range (aeronautics); Upstream and downstream (DNA); Biology; Hydrology (agriculture); Ecology; Geography; Engineering; Cartography","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001468015,0.00009739245,0.0001551139,0.0000201032,0.0001431542,0.00000856344,0.0001108137,0.00004148,0.002667449],"category_scores_gemma":[0.00003882545,0.0000855887,0.00002746842,0.0001061683,0.0005251321,0.000196779,0.0002332815,0.00006370475,0.00001182738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001385585,"about_ca_system_score_gemma":0.000003785005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001239621,"about_ca_topic_score_gemma":0.001808773,"domain_scores_codex":[0.9993452,0.00003165579,0.0001499365,0.0001955679,0.0001042518,0.0001733872],"domain_scores_gemma":[0.9997238,0.00004486478,0.0000747525,0.000115035,0.000007170077,0.00003435873],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002261891,0.0001283037,0.830344,0.00002421705,0.00003255233,0.000007131599,0.001961416,0.000001429065,0.00003238431,0.001882032,0.1650859,0.0004780599],"study_design_scores_gemma":[0.0001758225,0.0003492005,0.981562,0.000005484117,0.00001865152,9.017688e-7,0.0009289399,0.00007343647,0.0000925563,0.00117105,0.01551672,0.0001052242],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.584343,0.000004692134,0.0003112824,0.00101391,0.00009373005,0.0001410384,0.00001646335,0.00002813371,0.4140477],"genre_scores_gemma":[0.9938326,0.00009894846,0.00262546,0.001906845,0.000005873767,0.00003130077,0.000004322474,0.000006230641,0.001488351],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4125594,"threshold_uncertainty_score":0.9982442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02509768576847093,"score_gpt":0.2394934598655938,"score_spread":0.2143957740971228,"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."}}