{"id":"W2352012875","doi":"","title":"Aerosol Time-of-flight Mass Spectrometer Analysis of Particulate Products from Photooxidation of m-Xylene","year":2006,"lang":"en","type":"article","venue":"Guocheng gongcheng xuebao","topic":"Catalytic Processes in Materials Science","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"L'Alliance Boviteq","funders":"","keywords":"Aerosol; Chemistry; Ketone; Aldehyde; Mass spectrometry; Scanning mobility particle sizer; Particulates; Hydrocarbon; Xylene; Chemical composition; Environmental chemistry; Particle (ecology); Organic compound; m-Xylene; Particle size; Particle-size distribution; Organic chemistry; Chromatography; Benzene; Catalysis; Physical chemistry","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":[0.00008403842,0.0002303898,0.0001702689,0.0004905898,0.0002292904,0.0001236727,0.0001922425,0.0002330125,0.0009918413],"category_scores_gemma":[0.00007375053,0.00006737294,0.00016544,0.0002137318,0.00007091978,0.0001393552,0.00009791277,0.0001668261,0.0001420664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001174696,"about_ca_system_score_gemma":0.00009380715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009585123,"about_ca_topic_score_gemma":0.001201973,"domain_scores_codex":[0.9999287,0.000004811549,0.0000023194,0.0000179224,0.00003623436,0.000009998163],"domain_scores_gemma":[0.9999384,0.00000957857,0.00001218273,0.000002572361,0.00002531081,0.00001209798],"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":[0.00006510074,0.00001583864,0.001911296,0.00002011435,0.000008589172,0.00005813518,0.00001722859,0.00006056372,0.9950194,0.00004940927,0.0000651075,0.002709173],"study_design_scores_gemma":[0.00001488479,0.0002610655,0.05465295,0.000004444843,0.00003064699,0.0003753933,0.00004060059,0.004156,0.9390323,0.0001073569,0.001311163,0.00001320606],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905439,0.0003922835,0.006860259,0.00002439932,0.00002467578,0.00002566969,0.0005321248,0.0001057705,0.001490856],"genre_scores_gemma":[0.9856368,0.0004000399,0.01031221,0.00005591944,0.0000246171,0.0000434447,0.0009411278,0.00001844328,0.002567429],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009918413,"threshold_uncertainty_score":0.003318071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008120520864144089,"score_gpt":0.2192835865671889,"score_spread":0.2111630657030448,"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."}}