{"id":"W2015745031","doi":"10.1039/c4ja00034j","title":"Speciation of organometals using a synchronizing GC-EIMS and GC-ICPMS system for simultaneous detection","year":2014,"lang":"en","type":"article","venue":"Journal of Analytical Atomic Spectrometry","topic":"Analytical chemistry methods development","field":"Chemistry","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; Acadia University; Health Canada","funders":"Natural Sciences and Engineering Research Council of Canada; Health Canada","keywords":"Chemistry; Mass spectrometry; Chromatography; Inductively coupled plasma mass spectrometry; Analytical Chemistry (journal); Gas chromatography; Electron ionization; Inductively coupled plasma; Gas chromatography–mass spectrometry; Synchronizing; Ionization; Plasma; Ion; Physics; Organic chemistry","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":[],"consensus_categories":[],"category_scores_codex":[0.001289861,0.0002623292,0.0009163716,0.0003321733,0.00008926864,0.00005947214,0.0002337295,0.0002280704,0.0001991716],"category_scores_gemma":[0.002975227,0.0002325156,0.000307166,0.0005167248,0.0001190581,0.0001315826,0.00006865292,0.0003706481,0.00000275603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008577146,"about_ca_system_score_gemma":0.0001360618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005847548,"about_ca_topic_score_gemma":0.000001004928,"domain_scores_codex":[0.9974326,0.00005492074,0.001286612,0.000309297,0.0005398018,0.0003768039],"domain_scores_gemma":[0.9965866,0.001527464,0.0009924029,0.0002301989,0.0003905347,0.0002728114],"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":[0.0003334166,0.0001392342,0.001860113,0.001430134,0.0007739002,0.0000327017,0.0000621985,0.0002949472,0.9882013,0.001036214,0.000007973337,0.005827818],"study_design_scores_gemma":[0.001302837,0.0001611048,0.0002220567,0.0003518295,0.000742755,0.0007095303,0.0004491231,0.2757218,0.7190188,0.0007588583,0.0002464455,0.0003148523],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6563202,0.0001486411,0.3424787,0.00004112401,0.00009073203,0.00005174244,0.000005524033,0.00001777793,0.0008456084],"genre_scores_gemma":[0.9508657,0.00002077356,0.04827088,0.00001139296,0.0006758808,8.821017e-7,0.000001872138,0.00003641906,0.0001161528],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2945456,"threshold_uncertainty_score":0.9481711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01821151521322117,"score_gpt":0.2751473235130176,"score_spread":0.2569358082997965,"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."}}