{"id":"W4395139332","doi":"10.15468/atjqs6","title":"NuSEDS - New Salmon Escapement Database System","year":2021,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Escapement; Database; Computer science; Fishery; Biology","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":[0.003574323,0.0009794155,0.001480413,0.005880288,0.000636756,0.003332083,0.003457323,0.001260046,0.09103705],"category_scores_gemma":[0.01229018,0.0006480128,0.0007881942,0.006741965,0.0002439424,0.005204448,0.002912058,0.001294292,0.1267819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001347485,"about_ca_system_score_gemma":0.002570475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007853317,"about_ca_topic_score_gemma":0.006082695,"domain_scores_codex":[0.9972129,0.0003871547,0.0009182423,0.000438016,0.0008782878,0.0001654589],"domain_scores_gemma":[0.9924411,0.001205901,0.0008079051,0.002029154,0.003011356,0.0005046143],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002960097,0.0000600011,0.002004672,0.0005049981,0.00003608768,0.00009676065,0.00009647217,0.0005792566,0.000562094,0.003981204,0.9539173,0.03786527],"study_design_scores_gemma":[0.0001477269,0.0000445862,0.003874298,0.0001987139,0.00002667746,0.0001950744,0.00008589151,0.00375742,0.001378757,0.003699383,0.9865108,0.00008072601],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002619931,0.0005595759,0.01430514,0.0006905762,0.0002035348,0.0005262026,0.9002532,0.04420961,0.03663223],"genre_scores_gemma":[0.004626524,0.0003040685,0.00872245,0.0003631981,0.00004975403,0.0004249252,0.9744964,0.001843464,0.009169246],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09103705,"threshold_uncertainty_score":0.3045493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0111163032997031,"score_gpt":0.1941154885304105,"score_spread":0.1829991852307074,"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."}}