{"id":"W7004988695","doi":"","title":"Patterns and drivers of arsenic bioaccumulation in boreal freshwater fish of Ontario, Canada","year":2022,"lang":"en","type":"dissertation","venue":"Lu Zone Ul (Laurentian University)","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bioaccumulation; Freshwater fish; Diversity of fish; Watershed; Fish <Actinopterygii>; Arsenic; Freshwater ecosystem; Aquatic ecosystem; Population dynamics of fisheries","routes":{"ca_aff":false,"ca_fund":false,"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":[0.0003414465,0.0003329841,0.000311147,0.001360798,0.002411245,0.001195411,0.000824314,0.000317975,0.002129627],"category_scores_gemma":[0.001093358,0.0003782252,0.0005484837,0.003757045,0.0009292118,0.000456853,0.001067417,0.0003882195,0.0002208307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03615578,"about_ca_system_score_gemma":0.03535506,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9977337,"about_ca_topic_score_gemma":0.9992316,"domain_scores_codex":[0.9994608,0.00002405596,0.00002855986,0.0001621879,0.0001518005,0.0001726187],"domain_scores_gemma":[0.9986756,0.00006733349,0.0002374856,0.00004818895,0.0007485467,0.0002226525],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007058932,0.000009977161,0.9842667,0.00008440809,0.00007918147,0.0001355226,0.003009692,0.0003044921,0.001304286,0.000510703,0.003018826,0.00720553],"study_design_scores_gemma":[0.000002855217,0.000005243482,0.9949039,0.00002661217,0.00001720083,0.00002447755,0.00228564,0.0001640117,0.00005161852,0.00003333038,0.00247577,0.000009275968],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9713838,0.0009272566,0.0004023237,0.001154119,0.00001903086,0.00006644944,0.01661004,0.00003316139,0.009403904],"genre_scores_gemma":[0.9896204,0.0008905449,0.0004778169,0.0001818989,0.000005273494,0.00004249441,0.003759062,0.00001778465,0.005004636],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03615578,"threshold_uncertainty_score":0.2623298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005011157547689835,"score_gpt":0.1798462735833661,"score_spread":0.1748351160356762,"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."}}