{"id":"W2315528709","doi":"10.1139/cjfas-2014-0199","title":"Potential loss and rehabilitation of stream longitudinal connectivity: fish populations in urban streams with culverts","year":2014,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Culvert; Environmental science; Oncorhynchus; STREAMS; Trout; Upstream and downstream (DNA); Rainbow trout; Sculpin; Fishery; Hydrology (agriculture); Habitat; Fish migration; Population dynamics of fisheries; Baffle; Ecology; Fish <Actinopterygii>; Upstream (networking); Biology; Geology; Engineering; Geotechnical engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0003379172,0.0001829319,0.0001875562,0.0004754408,0.0004773744,0.0006604569,0.0003618442,0.0002445751,0.0006978788],"category_scores_gemma":[0.001345263,0.0001388133,0.0001414433,0.0006061213,0.0006858145,0.0003521865,0.0006277448,0.0001828915,0.00006329248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001360489,"about_ca_system_score_gemma":0.0007930154,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.109608,"about_ca_topic_score_gemma":0.3710648,"domain_scores_codex":[0.9997031,0.00005981717,0.0000172168,0.00008133707,0.00005674632,0.00008186414],"domain_scores_gemma":[0.9994172,0.00008278934,0.000223752,0.00003469065,0.00009599821,0.0001455275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001133027,0.0000534801,0.9949905,0.000006853305,0.00002215661,0.0000604721,0.0002940066,0.0008208319,0.001426821,0.00003819227,0.00003431571,0.002139134],"study_design_scores_gemma":[0.000002054019,0.00004232867,0.9987587,0.000001980429,0.000005175483,0.00001878811,0.0003045697,0.0007202149,0.00009476765,0.00001133514,0.00003844022,0.000001616435],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9999048,0.000005370251,0.00002449902,0.000002702635,1.50645e-7,0.000001334395,0.00001381739,6.582829e-7,0.00004681357],"genre_scores_gemma":[0.9997917,0.000008917514,0.00006684374,0.000002390602,4.514521e-7,0.000002337373,0.00004078721,4.043697e-7,0.00008611642],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.890392,"threshold_uncertainty_score":0.21794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01154206241635792,"score_gpt":0.2108456174328329,"score_spread":0.199303555016475,"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."}}