{"id":"W2044880733","doi":"10.1039/b002204g","title":"Use of Ar–He mixed gas plasmas for furnace atomisation plasma ionisation mass spectrometry (FAPIMS)","year":2000,"lang":"en","type":"article","venue":"Journal of Analytical Atomic Spectrometry","topic":"Analytical chemistry methods development","field":"Chemistry","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Chemistry; Ionization; Analytical Chemistry (journal); Analyte; Plasma; Mass spectrometry; Electron ionization; Ion; Chromatography","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001283003,0.0005187129,0.001292117,0.0006100892,0.0001259341,0.0001355259,0.0006310336,0.0004600004,0.009374655],"category_scores_gemma":[0.001891087,0.0004745075,0.0009009819,0.001112605,0.0002766243,0.0004501656,0.00005778801,0.000902893,0.0000539694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001265673,"about_ca_system_score_gemma":0.0004147533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009113955,"about_ca_topic_score_gemma":0.000002127701,"domain_scores_codex":[0.9950272,0.0000979598,0.002276134,0.0005543987,0.001279914,0.0007643529],"domain_scores_gemma":[0.9951797,0.002027308,0.001201785,0.0005502317,0.000488145,0.0005528916],"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":[0.006348396,0.001622389,0.01601248,0.001126891,0.004662857,0.0002158817,0.0002459289,0.0009997103,0.9375445,0.007320923,0.007576552,0.01632345],"study_design_scores_gemma":[0.003848094,0.0003718199,0.002475745,0.0003188835,0.001194653,0.0005670697,0.0003341493,0.04256961,0.926309,0.01240634,0.00875966,0.0008449807],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9394303,0.0001033835,0.05485491,0.001111097,0.0001591739,0.0001485014,0.00004881287,0.00004681439,0.00409702],"genre_scores_gemma":[0.7710354,0.0003220208,0.2230652,0.00007238222,0.0007733064,0.000006323873,0.00003287783,0.00008512354,0.004607422],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1683949,"threshold_uncertainty_score":0.9997706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03569398199127198,"score_gpt":0.2848103358231204,"score_spread":0.2491163538318484,"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."}}