{"id":"W2316895797","doi":"10.1021/ac1018364","title":"Noncooled Capillary Inlet: A Source of Systematic Errors in Capillary-Electrophoresis-Based Affinity Analyses","year":2010,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Microfluidic and Capillary Electrophoresis Applications","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; York University","keywords":"Capillary electrophoresis; Chemistry; Inlet; Capillary action; Electrolyte; Electrophoresis; Chromatography; Capillary electrochromatography; Analytical Chemistry (journal); Capillary length; Composite material; Mechanical engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002533723,0.0003162958,0.0007213929,0.0001320201,0.00005188426,0.00002385696,0.0004205591,0.0003108837,0.0003763518],"category_scores_gemma":[0.0001899531,0.0003017988,0.0002309003,0.0008307287,0.0001578406,0.00003895635,0.00003421475,0.0006392313,0.0000287795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009527428,"about_ca_system_score_gemma":0.0001266284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006406932,"about_ca_topic_score_gemma":0.00003341931,"domain_scores_codex":[0.9980739,0.00003729546,0.0007560453,0.0003336774,0.0003279353,0.0004711769],"domain_scores_gemma":[0.9986383,0.0001974961,0.0001047389,0.0007620348,0.00009890845,0.0001984896],"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":[0.00001665027,0.00008387306,0.000697182,0.004258884,0.0001056899,0.00001316675,0.00004345459,0.0005015929,0.9911194,0.00006049969,0.003087141,0.00001249618],"study_design_scores_gemma":[0.0004013464,0.00002173776,0.0003925516,0.0002823734,0.0002115829,0.00001865985,0.00008909842,0.02962328,0.9676372,0.00006795872,0.0008846369,0.0003695758],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897147,0.007029242,0.0007591142,0.00007771643,0.00002484399,0.0002377512,0.000007923052,0.0001273267,0.002021423],"genre_scores_gemma":[0.9980672,0.001442805,0.00008826363,0.00004450616,0.0000589754,0.00006264559,0.00003925115,0.00005060769,0.0001457198],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02912168,"threshold_uncertainty_score":0.9999434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01443525920922718,"score_gpt":0.2559065962535158,"score_spread":0.2414713370442886,"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."}}