{"id":"W2547497388","doi":"10.1039/c6ja00369a","title":"Direct determination of trace elements in austenitic stainless steel samples by ETV-ICPOES","year":2016,"lang":"en","type":"article","venue":"Journal of Analytical Atomic Spectrometry","topic":"Ion-surface interactions and analysis","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Vaporization; Austenite; NIST; Particulates; Inductively coupled plasma; Materials science; Certified reference materials; Inductively coupled plasma mass spectrometry; Calibration; Metallurgy; Analytical Chemistry (journal); TRACE (psycholinguistics); Austenitic stainless steel; Plasma; Mass spectrometry; Environmental chemistry; Chemistry; Chromatography; Detection limit; Corrosion; Microstructure; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003808804,0.0001388446,0.0004508896,0.0007159944,0.00001829042,0.00002487864,0.0001691643,0.0000671587,0.00047583],"category_scores_gemma":[0.0001675974,0.00009677126,0.0002097156,0.0005658055,0.00004125621,0.0002790953,0.00001514918,0.0001819964,0.000009415832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003859164,"about_ca_system_score_gemma":0.00002896895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001185412,"about_ca_topic_score_gemma":0.00001606337,"domain_scores_codex":[0.998458,0.00004446632,0.0008292226,0.0001092644,0.000319965,0.0002390437],"domain_scores_gemma":[0.999113,0.0003430402,0.0002127347,0.0001197059,0.0001213759,0.00009018613],"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":[0.0002730365,0.001119339,0.1018098,0.0003429774,0.001833119,0.0002158688,0.0003247055,0.001264539,0.8054467,0.001546122,0.004497127,0.08132668],"study_design_scores_gemma":[0.008702441,0.001484232,0.1167904,0.002410925,0.001851429,0.0004018975,0.003566474,0.155851,0.6928525,0.005241247,0.008920609,0.001926859],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9831201,0.0002704066,0.01538372,0.0001867859,0.0001099093,0.00003710991,0.00002328579,0.00001284052,0.0008557895],"genre_scores_gemma":[0.9978929,0.0003066692,0.001424171,0.000006464774,0.00006334013,7.650403e-7,9.996547e-7,0.00001735522,0.00028737],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1545865,"threshold_uncertainty_score":0.5210005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009520550340599723,"score_gpt":0.2559960113643666,"score_spread":0.2464754610237668,"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."}}