{"id":"W2290264745","doi":"10.1080/02726351.2015.1089964","title":"Studying the kinetics of thiols’ self-assembled monolayer formation in microfluidic channels","year":2015,"lang":"en","type":"article","venue":"Particulate Science And Technology","topic":"Microfluidic and Capillary Electrophoresis Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"CMC Microsystems","keywords":"Kinetics; Microchannel; Monolayer; Microfluidics; Dimensionless quantity; Chemistry; Fluidics; Diffusion; Mechanics; Nanotechnology; Materials science; Thermodynamics; Engineering; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003600397,0.00006879991,0.0001087872,0.0001997164,0.00005325179,0.00001911044,0.0002010682,0.00005578597,8.042987e-7],"category_scores_gemma":[0.00003381956,0.00005041251,0.000008198163,0.001268541,0.00006426257,0.0001056213,0.0000577369,0.00008656089,0.000006537853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000533362,"about_ca_system_score_gemma":0.00002204988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005101065,"about_ca_topic_score_gemma":0.000001673193,"domain_scores_codex":[0.9993259,0.0000101505,0.0001934052,0.0001138708,0.0001301179,0.0002265611],"domain_scores_gemma":[0.9996185,0.000012897,0.00002985222,0.0001946502,0.0001089219,0.00003522508],"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":[8.177145e-7,0.00001545346,0.0003997236,0.000006713698,0.000003334388,5.951475e-7,0.0005227586,0.00004131403,0.9958302,0.001929535,0.0004644461,0.0007851028],"study_design_scores_gemma":[0.0001508618,0.0000403482,0.0003805585,0.000007019757,0.00000732549,0.00001742135,0.0005439483,0.006426799,0.9889315,0.001821639,0.00161118,0.00006140574],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9872705,0.01100029,0.000773869,0.0004513826,0.0000450667,0.0001883837,1.523734e-7,0.00009638589,0.0001739517],"genre_scores_gemma":[0.9937543,0.006129719,0.0000510352,0.00001524833,0.000006127963,0.0000375701,1.728607e-7,0.000004867784,9.846948e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006898712,"threshold_uncertainty_score":0.2055763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01595696899057263,"score_gpt":0.227615263052641,"score_spread":0.2116582940620684,"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."}}