{"id":"W2064290713","doi":"10.1039/c2an36473e","title":"Development of fluorous porous polymer monolith (FPPM) for the capillary electrochromatographic separation of fluorous analytes based on fluorous–fluorous interaction","year":2012,"lang":"en","type":"article","venue":"The Analyst","topic":"Microfluidic and Capillary Electrophoresis Applications","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Monolith; Chemistry; Polymer; Analyte; Capillary electrochromatography; Porosity; Capillary action; Chemical engineering; Chromatography; Organic chemistry; Catalysis; Capillary electrophoresis; Materials science","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":[0.0003924147,0.0005315725,0.0002423273,0.0002948984,0.0002014994,0.0002632506,0.0004714825,0.0006805015,0.0002973469],"category_scores_gemma":[0.0003246193,0.0002212862,0.0002964561,0.0001507984,0.0003391687,0.0003964149,0.0002542458,0.0004702788,0.0001859413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003614512,"about_ca_system_score_gemma":0.0003076697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001197597,"about_ca_topic_score_gemma":0.001939524,"domain_scores_codex":[0.9997113,0.00002498341,0.00001473449,0.00008174671,0.0001225477,0.00004464534],"domain_scores_gemma":[0.999891,0.00003124123,0.00002175936,0.00000726962,0.00003324419,0.00001531078],"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":[0.00001095146,0.000008125427,0.0000626987,0.00003608913,0.00000407001,0.00003444792,0.000004980625,0.00005729021,0.9968408,0.00006720485,0.00002321718,0.00285017],"study_design_scores_gemma":[0.000003733473,0.00008265259,0.000717624,0.00000352557,0.000006849307,0.0002069817,0.000004521705,0.00136286,0.996648,0.00002365646,0.0009325565,0.000007121535],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5947664,0.008848138,0.3908527,0.0002663813,0.0001989731,0.0004369211,0.0004539384,0.001014563,0.003161981],"genre_scores_gemma":[0.7570289,0.002795768,0.2373895,0.0002328866,0.00004944436,0.0001478611,0.000375388,0.00004283409,0.001937348],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001197597,"threshold_uncertainty_score":0.002622545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01283189997778341,"score_gpt":0.2478728365266772,"score_spread":0.2350409365488938,"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."}}