{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000454038,0.0006664895,0.000348758,0.000467124,0.0001954399,0.0005435162,0.0008441298,0.0006848652,0.001584678],"category_scores_gemma":[0.0009294624,0.0002858467,0.0003101702,0.0003851481,0.0004242289,0.0005992962,0.0005118399,0.0007403793,0.0009057762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002553697,"about_ca_system_score_gemma":0.0002916502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001623274,"about_ca_topic_score_gemma":0.0004711301,"domain_scores_codex":[0.9991754,0.0001259417,0.0000276219,0.0002521474,0.0003722142,0.00004661536],"domain_scores_gemma":[0.9996171,0.0001009814,0.0001064988,0.00004006653,0.0001052575,0.00003003839],"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":[0.00006381239,0.00001008559,0.0001780482,0.00006852124,0.000007069335,0.00004606098,0.00001240611,0.00003297917,0.9954508,0.00006046916,0.00004095799,0.004028794],"study_design_scores_gemma":[0.00001800868,0.0003978041,0.00104545,0.000005464219,0.00001648464,0.001010902,0.00001753831,0.001163739,0.9942653,0.0000972319,0.001952086,0.00001010152],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7772501,0.00591127,0.205077,0.0003106623,0.0003339538,0.000427722,0.000815264,0.001526923,0.008347125],"genre_scores_gemma":[0.8132145,0.003244642,0.174409,0.0004078511,0.000146686,0.0002465323,0.0008149655,0.0001155526,0.007400306],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001584678,"threshold_uncertainty_score":0.005301297,"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."}}