{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006220829,0.003083877,0.001740799,0.004527101,0.000624278,0.002509781,0.002885205,0.002365514,0.3152062],"category_scores_gemma":[0.002652931,0.0005292408,0.0009080202,0.007742759,0.0005017065,0.001326344,0.002163014,0.001559291,0.5433989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001142423,"about_ca_system_score_gemma":0.001412504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01186077,"about_ca_topic_score_gemma":0.01344226,"domain_scores_codex":[0.9992235,0.000107974,0.00008380828,0.0002166218,0.0002053179,0.000162681],"domain_scores_gemma":[0.9994473,0.0001223103,0.00004380467,0.0001753534,0.0001189844,0.00009218496],"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":[0.00009594461,0.00005632262,0.00159591,0.001563033,0.0000503609,0.00006417332,0.00003298178,0.0009200784,0.0003561146,0.0006665248,0.9731103,0.02148834],"study_design_scores_gemma":[0.0001347787,0.00003616591,0.002958026,0.0003572777,0.00001844681,0.0000698391,0.00005789131,0.001241397,0.0006278821,0.001481199,0.9929909,0.00002621365],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000254974,0.0001958297,0.0002144841,0.00007455661,0.00004420118,0.00003353147,0.9941276,0.002194103,0.002860639],"genre_scores_gemma":[0.0006078784,0.0001625728,0.0003731893,0.00004211746,0.00001003461,0.00008180786,0.9964942,0.0001642324,0.002063904],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6847938,"threshold_uncertainty_score":0.9767753,"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."}}