{"id":"W2551747717","doi":"10.1016/j.jes.2016.10.009","title":"Characterization of colloidal arsenic at two abandoned gold mine sites in Nova Scotia, Canada, using asymmetric flow-field flow fractionation-inductively coupled plasma mass spectrometry","year":2016,"lang":"en","type":"article","venue":"Journal of Environmental Sciences","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Trent University","funders":"Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada; Queen's University; Trent University; University of Ottawa","keywords":"Arsenic; Colloid; Inductively coupled plasma mass spectrometry; Fractionation; Chemistry; Inductively coupled plasma; Mass spectrometry; Field flow fractionation; Environmental chemistry; Chromatography; Nova scotia; Mineralogy; Analytical Chemistry (journal); Geology; Plasma","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000609747,0.0001384894,0.0002240478,0.0002674858,0.0001149794,0.00001375532,0.0002142949,0.00005881878,0.002610463],"category_scores_gemma":[0.0001587824,0.0001060578,0.00006407435,0.0006449736,0.0002382775,0.0008289192,0.00008018258,0.0001117569,0.00001906988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002089848,"about_ca_system_score_gemma":0.0001249678,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.009588858,"about_ca_topic_score_gemma":0.0730144,"domain_scores_codex":[0.9979288,0.00008154257,0.0005904199,0.0002303362,0.0009338164,0.0002351017],"domain_scores_gemma":[0.9988067,0.0002656701,0.0007336149,0.00008202442,0.00001329565,0.00009871295],"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":[0.00003997365,0.00004863937,0.2467016,0.000001485791,0.000008843156,0.000005248184,0.00007233368,0.0009757221,0.7493231,0.000002982961,0.00003863911,0.002781489],"study_design_scores_gemma":[0.001679648,0.0002280828,0.8193799,0.00004107828,0.00002056011,0.00004600572,0.0002609077,0.01306758,0.1650008,0.00002752164,0.00007944398,0.0001684216],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971153,0.00001460199,0.001595017,0.0003843619,0.0002857577,0.000161713,0.00002713995,0.000002568696,0.0004135991],"genre_scores_gemma":[0.9968771,0.00003139471,0.002558051,0.00008091552,0.00006541583,8.562531e-7,0.00000512571,0.000007076394,0.0003740823],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5843223,"threshold_uncertainty_score":0.9983013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01109852964485192,"score_gpt":0.221453879693594,"score_spread":0.2103553500487421,"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."}}