{"id":"W3011835766","doi":"10.1021/acscentsci.0c00022","title":"Trace Ethylene Sensing via Wacker Oxidation","year":2020,"lang":"en","type":"article","venue":"ACS Central Science","topic":"Analytical Chemistry and Sensors","field":"Chemical Engineering","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Engineer Research and Development Center; Natural Sciences and Engineering Research Council of Canada; Division of Materials Research; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Wacker process; Chemiresistor; Ethylene; Chemoselectivity; Carbon nanotube; Doping; Catalysis; Chemistry; Materials science; Nanotechnology; Combinatorial chemistry; Photochemistry; Organic chemistry; Optoelectronics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008518744,0.00008721042,0.00008877273,0.000009786556,0.00009276554,0.0000351225,0.0001941762,0.0000465685,0.0001009916],"category_scores_gemma":[0.0003649571,0.00007930004,0.00003273424,0.0004492386,0.000162281,0.0002096612,0.00004560316,0.0001624059,0.00008219016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005530478,"about_ca_system_score_gemma":0.00002598971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009044536,"about_ca_topic_score_gemma":3.727e-7,"domain_scores_codex":[0.9988963,0.000005349286,0.0001288287,0.0002694076,0.0002966964,0.0004034131],"domain_scores_gemma":[0.9994665,0.00003349223,0.00002487186,0.0001069329,0.00003907379,0.0003290789],"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":[0.000004550975,0.000005298387,0.00006357369,0.000009071628,0.000001947908,0.000006263297,0.0002134241,0.001217371,0.9959741,0.0002674281,0.00004876676,0.002188202],"study_design_scores_gemma":[0.00006686969,0.000005608683,0.000299963,0.000005756519,0.000005616563,0.000003296783,0.00003826655,0.2043147,0.7943111,0.0000405705,0.0008089551,0.00009930262],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.956011,0.00002155742,0.03928876,0.00240747,0.00005392549,0.00003719354,0.000001055297,0.0001060547,0.00207296],"genre_scores_gemma":[0.9980375,0.000004633124,0.001298434,0.0003915779,0.0001357057,1.491542e-7,0.000002224712,0.000005952704,0.0001238804],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2030973,"threshold_uncertainty_score":0.3233762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01738411464405596,"score_gpt":0.2325658802974448,"score_spread":0.2151817656533888,"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."}}