{"id":"W7054765082","doi":"","title":"Assessment of mercury and selenium interactions in freshwater","year":2008,"lang":"en","type":"dissertation","venue":"Mspace (University of Manitoba)","topic":"Laser Design and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Fisheries and Oceans Canada; University of Waterloo; Trent University; Electric Power Research Institute; Hydro-Québec; Manitoba Hydro; Tennessee Valley Authority; University of Pennsylvania","keywords":"Mesocosm; Mercury (programming language); Methylmercury; Selenium; Perch; Bioaccumulation; Cadmium; Food chain","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0001298042,0.0002847261,0.000286241,0.0003367921,0.0006986091,0.0003197796,0.0002988238,0.000222695,0.0006483417],"category_scores_gemma":[0.0001855236,0.0001582734,0.0001387037,0.0003976238,0.0003128859,0.000205857,0.0004092742,0.0001811878,0.00009316725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002252212,"about_ca_system_score_gemma":0.001308755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1862888,"about_ca_topic_score_gemma":0.481831,"domain_scores_codex":[0.9998764,0.00001229101,0.000004928641,0.00004109412,0.00003847722,0.00002687955],"domain_scores_gemma":[0.9998707,0.00001220447,0.00003069887,0.000004540087,0.00005237755,0.00002947179],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0004529411,0.00008495786,0.4260629,0.0001260753,0.00005486432,0.0003475509,0.0006100982,0.0006426397,0.5631257,0.00008752841,0.0001269929,0.008277793],"study_design_scores_gemma":[0.000007276599,0.0005305876,0.9787437,0.000004336102,0.000022289,0.00006528642,0.0003169526,0.0008362728,0.01854956,0.00003040847,0.0008832249,0.00001004337],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993356,0.00004037561,0.0001685506,0.000005978625,5.312337e-7,0.000009041679,0.0001136985,0.000006988095,0.0003192507],"genre_scores_gemma":[0.9972695,0.00006826068,0.0008770539,0.00002197479,9.323884e-7,0.00002959861,0.0002595467,0.00000329147,0.001469724],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1862888,"threshold_uncertainty_score":0.3704089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01275057627203169,"score_gpt":0.220119788778953,"score_spread":0.2073692125069213,"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."}}