{"id":"W2999403827","doi":"10.1039/c9ja00400a","title":"Use of a mixed argon–hydrogen–tetrafluoromethane carrier gas for the analysis of nickel materials by electrothermal vaporization coupled to inductively coupled plasma optical emission spectrometry","year":2020,"lang":"en","type":"article","venue":"Journal of Analytical Atomic Spectrometry","topic":"Laser-induced spectroscopy and plasma","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Vaporization; Nickel; Argon; Inductively coupled plasma; Chemistry; Analytical Chemistry (journal); Hydrogen; Volatility (finance); Analyte; Inductively coupled plasma mass spectrometry; Plasma; Volatilisation; Mass spectrometry; Inorganic chemistry; Chromatography","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008790188,0.000457123,0.001785652,0.001157635,0.00007686232,0.00007825676,0.0005755031,0.0003192552,0.0005452678],"category_scores_gemma":[0.001279,0.0003484658,0.0007305861,0.004492627,0.0001318762,0.000296768,0.00005907585,0.000616105,0.000005416102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003616474,"about_ca_system_score_gemma":0.0001871096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002356094,"about_ca_topic_score_gemma":0.000005191206,"domain_scores_codex":[0.9961724,0.0001079967,0.001759948,0.0003907036,0.0008923949,0.0006765256],"domain_scores_gemma":[0.9967833,0.001299982,0.0006231968,0.0003605234,0.0003610508,0.0005719601],"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":[0.001540014,0.0001823572,0.0003447947,0.00009845223,0.005165932,0.00001621425,0.0001552538,0.009685687,0.9813995,0.0004465822,0.0008546386,0.0001105144],"study_design_scores_gemma":[0.001093338,0.0009052227,0.001586175,0.00004121498,0.002773745,0.00003470882,0.000100835,0.1813993,0.8116372,0.0000551156,0.00008070957,0.0002924827],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9546196,0.0001685402,0.04350876,0.0006227513,0.0002732744,0.0004391446,0.000309187,0.00003988878,0.00001878595],"genre_scores_gemma":[0.9946941,0.0001600252,0.004581451,0.0000771512,0.0003245272,0.000008027707,0.00004411449,0.00007843688,0.00003221924],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1717136,"threshold_uncertainty_score":0.9998967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02085337765670346,"score_gpt":0.2497604405261609,"score_spread":0.2289070628694574,"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."}}