{"id":"W1995361872","doi":"10.1007/s002160000553","title":"Lead in micro-samples of whole blood by Rhenium-cup in-torch vaporization-inductively coupled plasma-atomic emission spectrometry (ITV-ICP-AES)","year":2000,"lang":"en","type":"article","venue":"Fresenius Journal of Analytical Chemistry","topic":"Analytical chemistry methods development","field":"Chemistry","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"National Institute of Standards and Technology","keywords":"Vaporization; Inductively coupled plasma; Inductively coupled plasma mass spectrometry; Chemistry; Analytical Chemistry (journal); Rhenium; Inductively coupled plasma atomic emission spectroscopy; Plasma torch; Torch; Chromatography; Mass spectrometry; Radiochemistry; Plasma; Materials science; Metallurgy; Inorganic chemistry","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":[0.0005970872,0.0007678413,0.0004310731,0.001114989,0.0008133899,0.0005465327,0.0007675629,0.0005624546,0.002569367],"category_scores_gemma":[0.0005819216,0.0003663323,0.0003205934,0.0007726086,0.0005790692,0.0004397872,0.0002948247,0.0009072052,0.001027899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000368842,"about_ca_system_score_gemma":0.0007552109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003965254,"about_ca_topic_score_gemma":0.009405412,"domain_scores_codex":[0.9994686,0.00009351711,0.00003390744,0.0001948139,0.0001470229,0.00006208646],"domain_scores_gemma":[0.9998096,0.00005435392,0.00001320841,0.0000420802,0.00006888846,0.0000118976],"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":[0.0007671571,0.00005489413,0.002074591,0.000145791,0.00005295338,0.0001637099,0.0001864288,0.000295636,0.9795145,0.0006385615,0.0009849196,0.01512099],"study_design_scores_gemma":[0.0000202521,0.0001840223,0.003691525,0.00001199332,0.00006391721,0.0002129875,0.00004339721,0.002184687,0.9888559,0.0002820337,0.004439959,0.000009253183],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6196514,0.008955442,0.3301318,0.0008069616,0.001244239,0.0005271466,0.00593092,0.005674279,0.02707786],"genre_scores_gemma":[0.8374367,0.003903276,0.1251913,0.0004762711,0.0002676369,0.0003641101,0.005234403,0.0006363968,0.02648994],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.003965254,"threshold_uncertainty_score":0.008595407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01802847750550361,"score_gpt":0.273926144980826,"score_spread":0.2558976674753223,"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."}}