{"id":"W2150672148","doi":"10.1139/f04-093","title":"Swimming performance of upstream migrant fishes in open-channel flow: a new approach to predicting passage through velocity barriers","year":2004,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":239,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Fish and Wildlife Service; Massachusetts MassWildlife Division of Fisheries and Wildlife","keywords":"Alosa; Alewife; Fish migration; Fishery; Flume; Biology; Ecology; Environmental science; Fish <Actinopterygii>; Flow (mathematics); Mathematics","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":[0.0005054016,0.0003424333,0.0002882209,0.0006205302,0.0002723285,0.0004018938,0.0003595652,0.0003795835,0.0005291977],"category_scores_gemma":[0.00145931,0.0002173253,0.0003542583,0.0002752122,0.0003273196,0.0004691321,0.0003719172,0.0002667717,0.00007724652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004558783,"about_ca_system_score_gemma":0.0004776107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02960225,"about_ca_topic_score_gemma":0.03862479,"domain_scores_codex":[0.9999163,0.0000244777,0.000006157799,0.00002831148,0.00001206596,0.0000126756],"domain_scores_gemma":[0.9995709,0.0001937909,0.0001153265,0.0000282381,0.00003866152,0.00005308639],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001813254,0.0001377717,0.822295,0.00002735855,0.0001026249,0.00008748926,0.0001866913,0.1603494,0.01068945,0.0003021097,0.0001045826,0.005536185],"study_design_scores_gemma":[0.00001313678,0.0002448565,0.6307597,0.000006740252,0.00002845638,0.00003247281,0.0001201654,0.3674102,0.0009343766,0.000340976,0.00008776659,0.00002113227],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979575,0.00001015513,0.001871035,0.000007397247,4.430288e-7,0.000003338646,0.00004194333,0.00001124439,0.00009691296],"genre_scores_gemma":[0.998913,0.000008485019,0.0008963783,0.000001668093,6.915494e-7,0.000004357138,0.00008519614,0.000002083742,0.00008817123],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02960225,"threshold_uncertainty_score":0.05885988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02201457066857954,"score_gpt":0.2148035899350511,"score_spread":0.1927890192664715,"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."}}