{"id":"W2688469583","doi":"10.1002/rra.3173","title":"Fish age and size distributions and species composition in a large, hydropeaking <scp>P</scp>rairie <scp>R</scp>iver","year":2017,"lang":"en","type":"article","venue":"River Research and Applications","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Video Pool Media Arts Centre; Research Manitoba; Fisheries and Oceans Canada","funders":"Fisheries and Oceans Canada; Cisco Systems","keywords":"Hydroelectricity; Environmental science; Hydrology (agriculture); Upstream and downstream (DNA); Fish <Actinopterygii>; Habitat; STREAMS; Downstream (manufacturing); Juvenile fish; Fauna; Streamflow; Upstream (networking); Ecology; Fishery; Biology; Geography; Drainage basin; Geology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0001840906,0.0001249685,0.0001475177,0.0007230751,0.0004755779,0.0003063275,0.0002725859,0.0001611437,0.00170593],"category_scores_gemma":[0.0002694699,0.0001387026,0.0001268658,0.0004643566,0.0004232506,0.0001641491,0.0002768362,0.0001391144,0.0003265864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001145038,"about_ca_system_score_gemma":0.0004003567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2046242,"about_ca_topic_score_gemma":0.4823744,"domain_scores_codex":[0.9998877,0.000011018,0.000006896789,0.0000425599,0.00002596851,0.00002574903],"domain_scores_gemma":[0.9996766,0.00004002305,0.0000601866,0.00002289914,0.0001056701,0.0000945851],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001462107,0.00005663751,0.9689587,0.00001144577,0.00003144902,0.0002980467,0.0006992941,0.0002157924,0.02538163,0.00002910718,0.0002287396,0.003942866],"study_design_scores_gemma":[0.000001054066,0.00003008412,0.999151,0.000001206493,0.000002446338,0.00003930218,0.0002686078,0.00009722227,0.0003394434,0.000002763554,0.00006508038,0.000001926918],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995044,0.000004798979,0.00004195857,0.000002292544,3.182565e-7,0.000003548328,0.0001811756,0.000002179442,0.0002591827],"genre_scores_gemma":[0.9988151,0.000008805902,0.0001294872,0.00000713495,3.58831e-7,0.000005652997,0.0002451983,0.000001859663,0.0007864237],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2046242,"threshold_uncertainty_score":0.4068663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03072992989874905,"score_gpt":0.3030716502941567,"score_spread":0.2723417203954076,"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."}}