{"id":"W2913379130","doi":"10.1139/cjfas-2018-0280","title":"Application of multistate modeling to estimate salmonid survival and movement in relation to spatial and temporal variation in metal exposure in a mining-impacted river","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Strong; Montana State University; U.S. Department of Justice","keywords":"Trout; Salmo; Tributary; Oncorhynchus; Brown trout; Environmental science; Copper; STREAMS; Tailings; Salmonidae; Ecology; Hydrology (agriculture); Biology; Fishery; Chemistry; Fish <Actinopterygii>; Geology; Geography","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":[0.001112956,0.0005708517,0.0005409618,0.0004834001,0.0004815012,0.0006478081,0.0007834631,0.0005980674,0.0006179216],"category_scores_gemma":[0.001951571,0.000552692,0.001177237,0.0004448975,0.0002641857,0.0003330583,0.000629431,0.0005797976,0.000104744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007990432,"about_ca_system_score_gemma":0.0009675057,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06235025,"about_ca_topic_score_gemma":0.04257533,"domain_scores_codex":[0.9997434,0.000098231,0.00001729537,0.00007737914,0.00002463354,0.00003905686],"domain_scores_gemma":[0.9990634,0.000573589,0.0001520739,0.00006794008,0.00009574603,0.00004719114],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000151417,0.00009639519,0.06993023,0.00001328582,0.0002182455,0.00003807862,0.00009594789,0.9232924,0.0008631382,0.0004307447,0.0001262283,0.004743895],"study_design_scores_gemma":[0.000004978698,0.00004919139,0.006749379,0.000001621276,0.00002198676,0.000008156723,0.00002043683,0.9928021,0.0001135618,0.0001578746,0.000065178,0.000005480658],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9668766,0.00004199917,0.03224274,0.00006908044,0.000008758168,0.00002877543,0.0002309651,0.0001106652,0.0003903959],"genre_scores_gemma":[0.991551,0.0000325599,0.007218262,0.00001086271,0.000003394104,0.000072448,0.000321177,0.00001083648,0.0007793735],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9376497,"threshold_uncertainty_score":0.1239746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01262674803038716,"score_gpt":0.2263503863881483,"score_spread":0.2137236383577612,"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."}}