{"id":"W4256210437","doi":"10.22215/etd/2020-13922","title":"Lacustrine Arcellinida (Testate Lobose Amoebae) as Bioindicators of Arsenic Contamination: A new tool for Environmental Risk Assessment","year":2020,"lang":"en","type":"dissertation","venue":"","topic":"Geochemistry and Elemental Analysis","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Resources Canada; Crown-Indigenous Relations and Northern Affairs Canada; Kuwait University; Natural Sciences and Engineering Research Council of Canada; Queen's University; Indigenous and Northern Affairs Canada; Polar Knowledge Canada; Aarhus Universitet","keywords":"Bioindicator; Environmental science; Contamination; Benthic zone; Biomonitoring; Environmental remediation; Sediment; Silt; Ecology; Geology; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0003654025,0.0002856051,0.0001534456,0.0003903911,0.0002230156,0.0006973835,0.0002154959,0.0003072426,0.001972084],"category_scores_gemma":[0.0002849952,0.0001445055,0.0001647205,0.000353108,0.0001756271,0.0004612438,0.0004300851,0.0004415064,0.0004752954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003196738,"about_ca_system_score_gemma":0.0002144929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002643879,"about_ca_topic_score_gemma":0.007088171,"domain_scores_codex":[0.9999084,0.00003140011,0.000004758958,0.00002760223,0.00001588937,0.00001192986],"domain_scores_gemma":[0.9999039,0.00002349814,0.0000172417,0.000007279676,0.00003286589,0.0000150954],"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":[0.0002579734,0.00006726885,0.03618106,0.0004101869,0.00006119247,0.0001792017,0.0009737309,0.0007737589,0.7708413,0.000863234,0.0006867124,0.1887044],"study_design_scores_gemma":[0.00005962049,0.001862169,0.4407307,0.0003044153,0.0003389241,0.001039228,0.004109959,0.007076073,0.4054556,0.002245705,0.1366895,0.00008813103],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.958671,0.01279821,0.01447043,0.00105394,0.0000483296,0.00008378126,0.0007015548,0.0001567922,0.0120159],"genre_scores_gemma":[0.95261,0.007368316,0.02560274,0.0002006121,0.00002420851,0.0000662809,0.0006295237,0.00002874862,0.01346967],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002643879,"threshold_uncertainty_score":0.006597281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006260463951878692,"score_gpt":0.2256411910656456,"score_spread":0.2193807271137669,"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."}}