{"id":"W221832661","doi":"10.1016/j.chroma.2015.05.014","title":"Inlet backflushing device for the improvement of comprehensive two dimensional gas chromatographic separations","year":2015,"lang":"en","type":"article","venue":"Journal of Chromatography A","topic":"Analytical Chemistry and Chromatography","field":"Chemistry","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Inlet; Chemistry; Analyte; Chromatography; Gas chromatography; Two-dimensional gas; Analytical Chemistry (journal)","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":[0.0007249588,0.0009026694,0.0006179676,0.000840012,0.0006149128,0.0004896426,0.000859174,0.0009145205,0.002147804],"category_scores_gemma":[0.0006045973,0.0004404477,0.0003634544,0.0006190024,0.0004045253,0.0008344309,0.000695047,0.001220887,0.0008813617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004026038,"about_ca_system_score_gemma":0.0007322619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00160876,"about_ca_topic_score_gemma":0.003356653,"domain_scores_codex":[0.9994771,0.00006056216,0.00003063769,0.00014133,0.0002350955,0.00005528781],"domain_scores_gemma":[0.9996353,0.0001318814,0.00003171855,0.00005594614,0.0001132891,0.00003179172],"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":[0.00006402551,0.00003487839,0.0002679783,0.00009586853,0.000007850223,0.00004933642,0.00004996384,0.00005401009,0.9848272,0.0002698466,0.0005440479,0.01373513],"study_design_scores_gemma":[0.000007967003,0.00006096806,0.001390034,0.0000103919,0.00001902616,0.0001455392,0.00001336586,0.002458444,0.9902402,0.00004997536,0.00558214,0.00002195939],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3684825,0.006254986,0.6107659,0.0005376659,0.0005624744,0.0003554788,0.001290912,0.006990564,0.004759491],"genre_scores_gemma":[0.5567306,0.005389079,0.4212657,0.001023249,0.0001544233,0.0004385439,0.002315792,0.000530648,0.01215203],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002147804,"threshold_uncertainty_score":0.007185102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03392169097124369,"score_gpt":0.2956057623470068,"score_spread":0.261684071375763,"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."}}