{"id":"W1980754712","doi":"10.1007/s13762-013-0403-0","title":"Optimization of sample preparation method of total sulphur measurement in mine tailings","year":2013,"lang":"en","type":"article","venue":"International Journal of Environmental Science and Technology","topic":"Mine drainage and remediation techniques","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Tailings; Factorial experiment; Central composite design; Inductively coupled plasma; Certified reference materials; Chemistry; Digestion (alchemy); Inductively coupled plasma atomic emission spectroscopy; Sample preparation; Sulfur; Spectrum analyzer; Response surface methodology; Detection limit; Analytical Chemistry (journal); Chromatography; Materials science; Metallurgy; Mathematics; Engineering; Plasma","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001018582,0.0005141057,0.0004683729,0.0003736485,0.0004468961,0.0004166702,0.0004422317,0.0005583873,0.0006871865],"category_scores_gemma":[0.001054882,0.0003154787,0.0004653159,0.0002908827,0.0003627489,0.0002963128,0.0002755464,0.000366771,0.0003489589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002300759,"about_ca_system_score_gemma":0.0005215055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001687227,"about_ca_topic_score_gemma":0.005274777,"domain_scores_codex":[0.9991027,0.0001753985,0.00007196554,0.00022558,0.0003626862,0.00006171792],"domain_scores_gemma":[0.9995715,0.0001443719,0.00004322425,0.00004006677,0.0001834522,0.00001724401],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001732537,0.00004082523,0.001423629,0.0001104079,0.00001623459,0.00003734925,0.00006478716,0.000230336,0.9908303,0.00005572893,0.0001053605,0.006911847],"study_design_scores_gemma":[0.00001556993,0.000303269,0.006228162,0.00001045549,0.00004704929,0.0000980281,0.00005814102,0.002172093,0.9887463,0.0000545924,0.002248079,0.00001826779],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8973032,0.001464889,0.09787757,0.0002088946,0.0001818888,0.0004150816,0.0005960204,0.0004438066,0.001508798],"genre_scores_gemma":[0.841122,0.001211886,0.1535722,0.0001926785,0.00006745545,0.0005012613,0.0007364961,0.0001141109,0.002481888],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001687227,"threshold_uncertainty_score":0.005386829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007685983344780015,"score_gpt":0.254537713775673,"score_spread":0.246851730430893,"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."}}