{"id":"W2078256121","doi":"10.1021/ac9910278","title":"An Investigation of the Concentration Dependence and Response to Analyte Mixtures of Carbon Black/Insulating Organic Polymer Composite Vapor Detectors","year":2000,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":155,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Canada; National Aeronautics and Space Administration","keywords":"Analyte; Chemistry; Detector; Carbon black; Homologous series; Analytical Chemistry (journal); Polymer; Composite number; Solvent; Detection limit; Carbon fibers; Chromatography; Organic chemistry; Composite material; Optics; Materials science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006191747,0.0006812019,0.0004900131,0.0004072614,0.0002659936,0.0004766935,0.0006926542,0.0008378325,0.0007143803],"category_scores_gemma":[0.002341528,0.0004564151,0.000339509,0.0003608793,0.0003633647,0.0004016321,0.0003058445,0.0007958986,0.0003465226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003771511,"about_ca_system_score_gemma":0.0002569278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005728599,"about_ca_topic_score_gemma":0.0008472836,"domain_scores_codex":[0.9984383,0.0003558162,0.00005251243,0.0003772609,0.0006460443,0.0001300305],"domain_scores_gemma":[0.9986988,0.0005953765,0.0001446799,0.00009363455,0.0003941504,0.00007325893],"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":[0.00007983498,0.00002522865,0.0002551651,0.00003227101,0.00001105132,0.00002754827,0.00001802277,0.0001672095,0.9975055,0.0000119316,0.00001151983,0.001854813],"study_design_scores_gemma":[0.000002693973,0.0003373008,0.001572846,0.000003432938,0.00001345621,0.00005975647,0.0000128607,0.001571726,0.9961414,0.000008208789,0.0002721827,0.000004236639],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9805961,0.001590171,0.01548064,0.0001299009,0.0000797564,0.00007984864,0.0001311639,0.0003224364,0.001589984],"genre_scores_gemma":[0.9737666,0.001132941,0.02263735,0.0001617856,0.00004577193,0.0001080726,0.0002345069,0.00005911568,0.001853837],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008378325,"threshold_uncertainty_score":0.00327456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005071948316949346,"score_gpt":0.2113304473227754,"score_spread":0.2062584990058261,"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."}}