{"id":"W2314967240","doi":"10.1021/ac5022198","title":"Digital Microfluidic Platform for Human Plasma Protein Depletion","year":2014,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Electrowetting and Microfluidic Technologies","field":"Engineering","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Chemistry; Human serum albumin; Chromatography; Hemopexin; Blood proteins; Protein detection; Dilution; Microfluidics; Biomarker; Biochemistry; Nanotechnology; Enzyme","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":[0.0002812605,0.0003551726,0.0002472216,0.0002884216,0.0002068855,0.0003227499,0.000507172,0.0003716858,0.001370063],"category_scores_gemma":[0.0002546957,0.0001942976,0.0001828559,0.0001468746,0.0001790773,0.000267167,0.0004823752,0.0003111932,0.0005221188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004486442,"about_ca_system_score_gemma":0.000392542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002737457,"about_ca_topic_score_gemma":0.0003641491,"domain_scores_codex":[0.9997786,0.00002119709,0.00001551795,0.00007653615,0.00008400019,0.0000241431],"domain_scores_gemma":[0.9999144,0.00002705329,0.00001903898,0.00001322593,0.00001780649,0.00000849897],"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":[0.00007990956,0.00006735635,0.0002646321,0.0001848124,0.00001548928,0.00006609786,0.00004599151,0.0006052153,0.9675406,0.001966721,0.002570221,0.02659301],"study_design_scores_gemma":[0.00004943788,0.0002653666,0.001319242,0.00002211674,0.0000299393,0.0003157087,0.00001498944,0.01388415,0.942897,0.0006066567,0.0405575,0.00003802381],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4481527,0.01432018,0.5054087,0.001942204,0.001985678,0.0009886487,0.00317943,0.005706329,0.0183162],"genre_scores_gemma":[0.7106218,0.004507515,0.2679833,0.001074898,0.0002494914,0.001411501,0.001237429,0.00008310227,0.012831],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001370063,"threshold_uncertainty_score":0.004583359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008408020645342547,"score_gpt":0.2118179742304646,"score_spread":0.2034099535851221,"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."}}