{"id":"W2013893660","doi":"10.1021/ac901778n","title":"Ambient Mass Spectrometric Detection of Organometallic Compounds Using Direct Analysis in Real Time","year":2009,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Chemistry; DART ion source; Dart; Mass spectrometry; Mass spectrum; Group 2 organometallic chemistry; Analytical Chemistry (journal); Analyte; Fragmentation (computing); Ion; Ionization; Protonation; Ambient ionization; Toluene; Electrode; Chemical ionization; Molecule; Organic chemistry; Chromatography; Physical chemistry; Electron ionization","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001674902,0.0002089988,0.0005553859,0.0004032624,0.00004874072,0.00003065168,0.0002711235,0.0001899729,0.004385298],"category_scores_gemma":[0.00006725339,0.0002199521,0.000305378,0.005093209,0.00007134286,0.00005173338,0.00003579319,0.0002574851,0.000007522889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003772616,"about_ca_system_score_gemma":0.00003162889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001146806,"about_ca_topic_score_gemma":0.000003112034,"domain_scores_codex":[0.9983493,0.00001075541,0.000533165,0.0004437974,0.0003254262,0.0003375607],"domain_scores_gemma":[0.9989973,0.00007757188,0.0001827328,0.0005435406,0.00006735597,0.0001315158],"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":[0.00001418318,0.0002413372,0.003868044,0.00003666222,0.0001579642,0.000006252694,0.000004487643,0.00008598022,0.9952514,0.0001266921,0.000008041738,0.0001989158],"study_design_scores_gemma":[0.0001950724,0.00002325593,0.004410282,0.0000141285,0.0005076634,0.000005663143,0.00001471277,0.041884,0.9517499,0.0008521854,0.00009956881,0.0002435843],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8565519,0.00003824001,0.0008143824,0.00004644342,0.000002527293,0.00004134214,0.00001779262,0.00011431,0.142373],"genre_scores_gemma":[0.9975207,0.00004589463,0.001129207,0.000008427358,0.00005702694,0.000004727341,0.00005488994,0.00001437738,0.001164766],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1412082,"threshold_uncertainty_score":0.9965248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01275787666451445,"score_gpt":0.2665977204379725,"score_spread":0.2538398437734581,"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."}}