{"id":"W2086639539","doi":"10.1007/s00216-010-3595-x","title":"Capillary array isoelectric focusing with laser-induced fluorescence detection: milli-pH unit resolution and yoctomole mass detection limits in a 32-channel system","year":2010,"lang":"en","type":"article","venue":"Analytical and Bioanalytical Chemistry","topic":"Microfluidic and Capillary Electrophoresis Applications","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"National Institute of Neurological Disorders and Stroke; National Institutes of Health","keywords":"Capillary electrophoresis; Cuvette; Chemistry; Laser-induced fluorescence; Analytical Chemistry (journal); Detection limit; Isoelectric focusing; Capillary action; Fluorescence; Achromatic lens; Resolution (logic); Laser; Chromatography; Optics; 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":[0.001496722,0.0007589181,0.0009668501,0.000689489,0.000563904,0.0009749927,0.00130845,0.001110838,0.00242819],"category_scores_gemma":[0.001465215,0.000855319,0.0001937846,0.0004909685,0.0004752079,0.001211466,0.0006805906,0.0007687649,0.001443726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006679266,"about_ca_system_score_gemma":0.001446656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002191197,"about_ca_topic_score_gemma":0.004729639,"domain_scores_codex":[0.9987803,0.000209146,0.00007919921,0.0003772986,0.0004053718,0.0001486445],"domain_scores_gemma":[0.9991743,0.000380275,0.00006750596,0.0000671181,0.0002032381,0.0001075037],"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":[0.0003074867,0.00006509031,0.0002466979,0.00005159291,0.000007944496,0.00003895098,0.00004292117,0.0002074308,0.9887601,0.0008043657,0.0006217358,0.008845649],"study_design_scores_gemma":[0.00006334871,0.0002626029,0.001321396,0.00001552141,0.0000200351,0.0004463955,0.00002465525,0.01359634,0.9790517,0.0004139254,0.004731689,0.0000523259],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5407323,0.004219367,0.4398029,0.001040133,0.0001999762,0.000505879,0.0008247615,0.006642676,0.006032137],"genre_scores_gemma":[0.4036377,0.001874996,0.5802745,0.000545492,0.00007182364,0.001042333,0.0009042695,0.0003602327,0.01128874],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00242819,"threshold_uncertainty_score":0.008123159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007000018103012007,"score_gpt":0.1885772805227978,"score_spread":0.1815772624197858,"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."}}