{"id":"W2760001653","doi":"10.1139/cjfas-2017-0134","title":"Survival and migration speed of radio-tagged Atlantic salmon (<i>Salmo salar</i>) smolts in two large rivers: one without and one with dams","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Salmo; Hydropower; Fishery; Smoltification; Fish migration; Fish <Actinopterygii>; Salmonidae; Environmental science; Channel (broadcasting); Hydrology (agriculture); Downstream (manufacturing); Ecology; Biology; Geology","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":[0.0003245967,0.0001726144,0.0001665128,0.0002808395,0.000319119,0.0003177926,0.0002270921,0.0002829166,0.0006740048],"category_scores_gemma":[0.000450387,0.0001478695,0.0002728176,0.0001523799,0.000370376,0.000327808,0.0003253797,0.0002787976,0.0001595774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003857853,"about_ca_system_score_gemma":0.0002263778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007765113,"about_ca_topic_score_gemma":0.01643071,"domain_scores_codex":[0.9998543,0.00002990659,0.00001368281,0.00005506007,0.00001612123,0.00003090806],"domain_scores_gemma":[0.9995684,0.00009187287,0.000134588,0.00002861032,0.00006627542,0.0001103719],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000842239,0.000290544,0.9636678,0.00001556953,0.00006270596,0.0001745403,0.0007185372,0.0003723891,0.0297886,0.00003225894,0.0001062268,0.003928514],"study_design_scores_gemma":[0.00001428554,0.0007873003,0.9967656,0.000001863974,0.00002796888,0.00005664015,0.0004982504,0.0004370078,0.001326966,0.00001299857,0.00006300649,0.00000813435],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9999317,0.000004049382,0.00001200303,0.000001623044,5.524732e-7,7.084587e-7,0.00001613161,5.316286e-7,0.00003271514],"genre_scores_gemma":[0.9996124,0.000008893358,0.00004436611,0.00000529039,8.957227e-7,0.000005285553,0.0001245152,7.438546e-7,0.0001975365],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007765113,"threshold_uncertainty_score":0.01543981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01947929070357006,"score_gpt":0.2324508395415615,"score_spread":0.2129715488379915,"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."}}