{"id":"W2164846742","doi":"10.1039/b314732k","title":"Analysis of pharmaceutical tablets by laser ablation inductively coupled plasma atomic emission spectrometry and mass spectrometry (LA-ICP-AES and LA-ICP-MS)Electronic supplementary information (ESI) available: images of the ablation craters and trenches in the tablets. See http://www.rsc.org/suppdata/ja/b3/b314732k/","year":2004,"lang":"en","type":"article","venue":"Journal of Analytical Atomic Spectrometry","topic":"Laser-induced spectroscopy and plasma","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mass spectrometry; Chemistry; Inductively coupled plasma atomic emission spectroscopy; Analytical Chemistry (journal); Detection limit; Inductively coupled plasma mass spectrometry; Inductively coupled plasma; Laser ablation; Chromatography; Laser; Plasma","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":[0.0008966928,0.0007269668,0.0007216597,0.001042246,0.0004845208,0.0007851622,0.0005022031,0.0007068056,0.002567128],"category_scores_gemma":[0.001708728,0.0003093356,0.0005259048,0.0009358895,0.0004221122,0.0005039212,0.0003042293,0.0008269736,0.001079023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004403934,"about_ca_system_score_gemma":0.0005484693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001654558,"about_ca_topic_score_gemma":0.002876089,"domain_scores_codex":[0.998285,0.0002285652,0.0001281339,0.0003556968,0.0009352791,0.00006725255],"domain_scores_gemma":[0.9993486,0.0002057174,0.0001123615,0.00007469513,0.0002379663,0.00002067183],"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":[0.0001663928,0.00003175924,0.0004320294,0.0001857396,0.00002936106,0.00005942263,0.00004433342,0.0001438777,0.9831262,0.0001041135,0.0002105622,0.01546617],"study_design_scores_gemma":[0.00002729273,0.0003377077,0.003765646,0.00001964652,0.00004738156,0.0002329277,0.00004176633,0.002201628,0.9882553,0.0001286253,0.004920784,0.00002131954],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7061566,0.01128749,0.2534493,0.0005417468,0.0002098759,0.001849096,0.009863555,0.00165942,0.01498304],"genre_scores_gemma":[0.6085544,0.007365533,0.3629151,0.0004449754,0.00007619031,0.001083222,0.004116029,0.0004156973,0.01502886],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002567128,"threshold_uncertainty_score":0.008587956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008073178021969678,"score_gpt":0.2399969939531848,"score_spread":0.2319238159312151,"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."}}