{"id":"W2113372211","doi":"10.1007/s002160000528","title":"Automated in situ trace element analysis of silicate materials by laser ablation inductively coupled plasma mass spectrometry","year":2000,"lang":"en","type":"article","venue":"Fresenius Journal of Analytical Chemistry","topic":"Analytical chemistry methods development","field":"Chemistry","cited_by":37,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland; University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"NIST; Inductively coupled plasma mass spectrometry; Laser ablation; Analytical Chemistry (journal); Mass spectrometry; Calibration; Trace element; Chemistry; Inductively coupled plasma; Laser; Materials science; Plasma; Chromatography; Computer science; Optics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003488185,0.0003877555,0.0004456475,0.0005992114,0.000425195,0.0005901311,0.0005548648,0.0003395171,0.001034265],"category_scores_gemma":[0.0004715302,0.0003322421,0.0002363964,0.0003535185,0.0003062226,0.0004463879,0.0004239478,0.0004716927,0.0007398591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003452961,"about_ca_system_score_gemma":0.0004186907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001519274,"about_ca_topic_score_gemma":0.003960285,"domain_scores_codex":[0.9994602,0.00003998368,0.0000273658,0.0001474289,0.0002742701,0.00005071895],"domain_scores_gemma":[0.9996585,0.00008573736,0.00003926406,0.00006388826,0.0001367819,0.00001587265],"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":[0.00004448692,0.00000958381,0.0002522539,0.00001305245,0.000004246391,0.000008790086,0.00001430831,0.00006754047,0.9956301,0.0000334933,0.00004759759,0.003874446],"study_design_scores_gemma":[0.000004687072,0.00002493911,0.00149596,0.000001019522,0.000007462485,0.00003486648,0.00001110382,0.001793233,0.9957784,0.00004676814,0.0007975922,0.000003954989],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7993132,0.0006842925,0.1909789,0.0001407312,0.0000761319,0.0001621654,0.001504401,0.002641208,0.004498925],"genre_scores_gemma":[0.8647885,0.0005889698,0.1267855,0.0001100656,0.00003577462,0.0001447339,0.001135083,0.0002835596,0.006127793],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001519274,"threshold_uncertainty_score":0.00345993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01621098546730765,"score_gpt":0.2869716603071456,"score_spread":0.270760674839838,"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."}}