{"id":"W2143288213","doi":"10.1002/jssc.200301649","title":"Comprehensive two‐dimensional gas chromatography in stop‐flow mode","year":2004,"lang":"en","type":"article","venue":"Journal of Separation Science","topic":"Analytical Chemistry and Chromatography","field":"Chemistry","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Two-dimensional gas; Dimension (graph theory); Gas chromatography; Chromatography; Two-dimensional chromatography; Flow (mathematics); Resolution (logic); Modulation (music); Chemistry; Analytical Chemistry (journal); Biological system; Mathematics; Mechanics; Physics; Computer science; Artificial intelligence","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":[0.001157023,0.0008344603,0.0006515842,0.0006644074,0.0004934963,0.0007951724,0.001176847,0.0008909675,0.0006923167],"category_scores_gemma":[0.0006255419,0.0005501403,0.0004218851,0.0003281767,0.0009484641,0.001030742,0.001015511,0.001242679,0.0008181433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005219551,"about_ca_system_score_gemma":0.001018572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009284512,"about_ca_topic_score_gemma":0.001546198,"domain_scores_codex":[0.999073,0.0001000591,0.0000270214,0.0002287633,0.0005034126,0.00006765869],"domain_scores_gemma":[0.9996434,0.0001030719,0.00003886218,0.00004954476,0.000114315,0.00005082272],"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":[0.0001038989,0.0000371369,0.0003924558,0.0001842618,0.00003117726,0.0001105134,0.00005870991,0.0009279424,0.9678282,0.005748622,0.001126743,0.02345037],"study_design_scores_gemma":[0.00003765199,0.000484064,0.001215446,0.00003324259,0.00004281218,0.0009035434,0.00002105679,0.02958827,0.9444034,0.002730325,0.02045085,0.00008945524],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05069027,0.003791678,0.9394513,0.0003012638,0.000125854,0.0002179828,0.0003560509,0.002813584,0.002251961],"genre_scores_gemma":[0.2572785,0.005492363,0.7283145,0.0005556596,0.0001159169,0.0004760341,0.001181763,0.0001551337,0.006430105],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001176847,"threshold_uncertainty_score":0.006118953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01703106128539818,"score_gpt":0.3211110715066544,"score_spread":0.3040800102212562,"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."}}