{"id":"W1526954252","doi":"10.5772/38039","title":"Challenges in Microflow Measurements","year":2012,"lang":"en","type":"book-chapter","venue":"InTech eBooks","topic":"Microfluidic and Capillary Electrophoresis Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001373622,0.0003325597,0.0003082651,0.0002061911,0.00002444981,0.00001203786,0.0002572435,0.0003950021,0.000237325],"category_scores_gemma":[0.000002266137,0.0003623714,0.0000998538,0.00000979225,0.00004140651,0.00001859807,0.00004080473,0.0004756163,0.0004771294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002101498,"about_ca_system_score_gemma":0.00002436281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003331638,"about_ca_topic_score_gemma":0.00002705267,"domain_scores_codex":[0.9989266,0.000006401366,0.0003106984,0.0002472543,0.0001790554,0.0003299426],"domain_scores_gemma":[0.9993789,0.00001373155,0.0000406343,0.0004506978,0.00003813779,0.00007788691],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005751606,0.00001093644,0.000003158913,0.0001447507,0.0001420264,0.000006559075,0.0002179824,1.198723e-7,0.8202551,0.01124637,0.0139568,0.1540105],"study_design_scores_gemma":[0.00008820626,0.00001079205,0.000006752874,0.0001463615,0.00002379685,0.00001147649,0.00000592006,4.63061e-7,0.256029,0.003809429,0.739576,0.0002917353],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.00007786231,0.2920562,0.0001310176,0.00001985786,0.0001209123,0.0002370308,0.000009144325,0.0001810408,0.7071669],"genre_scores_gemma":[0.1809579,0.5784032,0.0001147216,0.0001109459,0.0006416755,0.0003157537,0.00006003352,0.0005005874,0.2388952],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7256193,"threshold_uncertainty_score":0.9998828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05823146100452647,"score_gpt":0.2319795258643532,"score_spread":0.1737480648598267,"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."}}