{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005938902,0.0003602587,0.0004714686,0.0003010587,0.0003450178,0.00003163507,0.0004534506,0.0001353846,0.00006607436],"category_scores_gemma":[0.00001645464,0.0002468954,0.0002695197,0.0008323954,0.00008627889,0.0001404633,0.00003192813,0.0002234729,0.00001632235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001508344,"about_ca_system_score_gemma":0.00009574233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001532859,"about_ca_topic_score_gemma":0.00006234553,"domain_scores_codex":[0.9979041,0.00009125785,0.0007905321,0.0002613509,0.0003886206,0.0005642014],"domain_scores_gemma":[0.9983595,0.0002910975,0.0002897703,0.0008253886,0.0001412616,0.00009296235],"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":[0.0001996078,0.0002611869,0.0006819826,0.0001256134,0.0008573807,5.8985e-7,0.001534734,0.002446948,0.9744082,0.0009546516,0.007942403,0.0105867],"study_design_scores_gemma":[0.0004520872,0.0001703748,0.002625508,0.00004416478,0.0005940708,0.00002285657,0.0005554816,0.03174707,0.9549701,0.00004396772,0.008403744,0.0003705841],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.904376,0.05047674,0.04302896,0.0001393405,0.0001601359,0.0009652423,0.00003031707,0.0001712923,0.0006520213],"genre_scores_gemma":[0.9950376,0.003704107,0.0004842335,0.0001010063,0.0001538042,0.0002663923,0.0001245856,0.00006871611,0.00005955163],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09066165,"threshold_uncertainty_score":0.9999983,"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."}}