{"id":"W4401169868","doi":"10.1016/j.snb.2024.136401","title":"A new strategy for volatile organics detection – Molecularly imprinted polymers-enabled headspace extracting and electrochemical sensing","year":2024,"lang":"en","type":"article","venue":"Sensors and Actuators B Chemical","topic":"Analytical chemistry methods development","field":"Chemistry","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Key Technologies Research and Development Program; Natural Science Foundation of Zhejiang Province; National Natural Science Foundation of China; National Science Foundation","keywords":"Molecularly imprinted polymer; Chromatography; Electrochemistry; Polymer; Chemistry; Materials science; Selectivity; Organic chemistry; Electrode; Catalysis","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":[0.0002965412,0.0009916935,0.0004269138,0.0004645083,0.0003414838,0.0005981854,0.0009924386,0.0009460169,0.0009834517],"category_scores_gemma":[0.0002614975,0.000520588,0.0003596941,0.0003173342,0.0004694204,0.001389134,0.0008739184,0.001390609,0.001202148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000334284,"about_ca_system_score_gemma":0.0004829862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002906315,"about_ca_topic_score_gemma":0.0005690221,"domain_scores_codex":[0.9994949,0.00004346319,0.00003707379,0.0001534177,0.0002046577,0.00006638137],"domain_scores_gemma":[0.9998775,0.00002180442,0.00002471136,0.00002152182,0.00003195757,0.00002263561],"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":[0.00002120357,0.0000276706,0.00003700212,0.00006972296,0.000008697007,0.00005402127,0.00001772187,0.00006866989,0.9892918,0.0007448273,0.0002699099,0.009388698],"study_design_scores_gemma":[0.000003328541,0.00005449024,0.0001162695,0.000002261202,0.000006212713,0.0001265501,0.000006580733,0.0009748859,0.994203,0.0001719946,0.00432069,0.00001383157],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3022682,0.01217485,0.6597462,0.001841958,0.001271669,0.0007147505,0.0009006851,0.003432408,0.01764932],"genre_scores_gemma":[0.7224848,0.00652456,0.2464955,0.001805912,0.0003676379,0.000412173,0.000913733,0.0001679071,0.02082783],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0009924386,"threshold_uncertainty_score":0.003289938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01207367387437632,"score_gpt":0.2666603754062449,"score_spread":0.2545867015318686,"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."}}