{"id":"W2051206323","doi":"10.1021/ac303153a","title":"Fabrication of High-Quality Microfluidic Solid-Phase Chromatography Columns","year":2012,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Microfluidic and Capillary Electrophoresis Applications","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Microfluidics; Chemistry; Soft lithography; Chromatography; Fabrication; Sample preparation; Reproducibility; Bead; Nanotechnology; Template; Micrometer; Analytical Chemistry (journal); Materials science; Optics; Composite material","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":[0.0005119252,0.0004343615,0.0003548861,0.000329718,0.0002725319,0.0007136773,0.0004850361,0.0003421443,0.0006303234],"category_scores_gemma":[0.000700371,0.0003533143,0.0002667949,0.0002205443,0.0003020447,0.000380595,0.0004592774,0.000558079,0.0007699362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003644417,"about_ca_system_score_gemma":0.0005797336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003419507,"about_ca_topic_score_gemma":0.001035267,"domain_scores_codex":[0.9996105,0.00003975273,0.00004607766,0.00007624241,0.0001855383,0.00004191395],"domain_scores_gemma":[0.9995371,0.000155969,0.0001101887,0.00006749738,0.00007787802,0.00005128636],"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":[0.00002090432,0.00001566341,0.0001508251,0.0000715299,0.000009098483,0.00003917479,0.00001293971,0.0005761688,0.9893182,0.000413352,0.0002363872,0.009135814],"study_design_scores_gemma":[0.00001498281,0.00005248451,0.0006314196,0.000007357373,0.00001155577,0.000115727,0.000005306564,0.003599668,0.9907481,0.0001781386,0.004624089,0.0000111052],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2463986,0.003317474,0.7417343,0.0004943628,0.0003048694,0.0004135526,0.001477524,0.002543143,0.003316318],"genre_scores_gemma":[0.3210841,0.001864161,0.673034,0.0001761467,0.00008216548,0.0002591784,0.001478588,0.0001456674,0.00187601],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0007136773,"threshold_uncertainty_score":0.002707362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01143598394982941,"score_gpt":0.2843430399759869,"score_spread":0.2729070560261574,"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."}}