{"id":"W4240199746","doi":"10.1063/1.4982969.1","title":"10.1063/1.4982969.1","year":2017,"lang":"en","type":"dataset","venue":"Default Digital Object Group","topic":"Microfluidic and Capillary Electrophoresis Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Microchannel; Electric field; Mechanics; Microfluidics; Pressure drop; Flow (mathematics); Electrode; Voltage; Materials science; Osmotic pressure; Chemistry; Nanotechnology; Electrical engineering; Engineering; Physics","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00007571551,0.0006092529,0.0005617861,0.0001770487,0.0002298075,0.0006905041,0.001105195,0.0005140603,0.002216248],"category_scores_gemma":[0.00006079385,0.0006177403,0.0002846528,0.0001509259,0.0001151463,0.0003305724,0.0001581225,0.0005429889,0.02113816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001493701,"about_ca_system_score_gemma":0.00005471618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003486231,"about_ca_topic_score_gemma":0.00001884435,"domain_scores_codex":[0.9980631,0.00001182873,0.000428294,0.0005191987,0.0003520078,0.000625568],"domain_scores_gemma":[0.9978182,0.00005861414,0.0001292461,0.00173716,0.00005410223,0.0002026759],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009511053,0.0000461147,7.277833e-7,0.0001348687,0.0001350363,0.00003524883,0.000004166511,0.000001676299,0.0002846634,0.00001428267,0.996309,0.003024656],"study_design_scores_gemma":[0.0001984804,0.0000766205,0.00002088697,0.00005589303,0.00007547857,0.00004868213,0.000004644548,0.00001389805,0.0001991887,0.0001073916,0.9985122,0.0006866193],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009781972,0.01861187,0.00005845566,0.00001166892,0.0002824941,0.0003412998,0.9609131,0.000370915,0.01931237],"genre_scores_gemma":[0.0006364932,0.01559609,0.000004001266,0.00004038765,0.0004965339,0.0001604944,0.9778646,0.0001044863,0.005096899],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01892192,"threshold_uncertainty_score":0.9996274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006770348527370633,"score_gpt":0.2223868619641731,"score_spread":0.2156165134368025,"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."}}