{"id":"W4386056924","doi":"10.1016/j.aca.2023.341749","title":"Highly selective molecularly imprinted polymer nanoparticles (MIP NPs)-based microfluidic gas sensor for tetrahydrocannabinol (THC) detection","year":2023,"lang":"en","type":"article","venue":"Analytica Chimica Acta","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Chemistry; Molecularly imprinted polymer; Molecular imprinting; Nanoparticle; NIP; Microfluidics; Analyte; Chromatography; Selectivity; Nanotechnology; Organic chemistry; Materials science","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":[0.0001846968,0.0004330522,0.0003402446,0.000334453,0.0002093139,0.0002437473,0.0006010472,0.0005286514,0.0007253333],"category_scores_gemma":[0.0002558764,0.0003325656,0.0002452645,0.0001617332,0.0002181711,0.0003996055,0.0003841089,0.0004487449,0.000577669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000473615,"about_ca_system_score_gemma":0.0004383977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007084717,"about_ca_topic_score_gemma":0.001309469,"domain_scores_codex":[0.9997501,0.00001957444,0.00001410755,0.00008982809,0.00008701954,0.00003947055],"domain_scores_gemma":[0.9999008,0.00002213004,0.00002344757,0.000008537035,0.00003132576,0.00001372201],"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":[0.00003180871,0.00001564804,0.00005974279,0.00003423924,0.000004887869,0.00002836836,0.000006465759,0.00008321283,0.996143,0.00008587648,0.000134535,0.003372248],"study_design_scores_gemma":[0.00000375932,0.00003710521,0.0002151428,0.000001249394,0.000006170345,0.00005993119,0.000003167495,0.001904023,0.996711,0.00001501226,0.001038521,0.000004839439],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7903107,0.008282783,0.1860219,0.001207914,0.0007434805,0.0003195032,0.001103236,0.003221276,0.00878913],"genre_scores_gemma":[0.8963052,0.002473796,0.09233859,0.0005219217,0.000170175,0.0002434993,0.0004056992,0.00005704351,0.00748401],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007253333,"threshold_uncertainty_score":0.003436387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009273133172312419,"score_gpt":0.2234304628313441,"score_spread":0.2141573296590317,"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."}}