{"id":"W3128332301","doi":"10.22541/au.157533115.54624508","title":"Induced-charge electrokinetic (ICEK) development and applications in microfluidics","year":2019,"lang":"en","type":"dataset","venue":"Authorea","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Microfluidics; Electrokinetic phenomena; Nanotechnology; Digital microfluidics; Electric field; Materials science; Engineering; Electrical engineering; Physics; Voltage; Electrowetting","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":[0.001357951,0.001323317,0.001569571,0.00431868,0.0006098211,0.001561211,0.001913834,0.001444832,0.03360028],"category_scores_gemma":[0.009613719,0.0003485212,0.001908699,0.007061909,0.0002575046,0.0009833772,0.001637491,0.001118279,0.02013286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001149015,"about_ca_system_score_gemma":0.002457202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01133008,"about_ca_topic_score_gemma":0.02214397,"domain_scores_codex":[0.998677,0.0003245701,0.0002616981,0.0003764715,0.0002049498,0.000155266],"domain_scores_gemma":[0.997,0.001735456,0.0003672936,0.0003376775,0.0004127449,0.0001467717],"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":[0.0008471811,0.00009000337,0.01587497,0.03327528,0.001008213,0.0002128141,0.00008576952,0.002880713,0.001050497,0.002521466,0.9002365,0.04191661],"study_design_scores_gemma":[0.0005275825,0.00008635256,0.01867034,0.00399362,0.0005890191,0.0002215577,0.00009219988,0.001182638,0.00111771,0.003735201,0.9697176,0.00006610609],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000791902,0.003333947,0.0002578824,0.0001851414,0.00004294942,0.0000399864,0.9941059,0.0002950434,0.0009472019],"genre_scores_gemma":[0.002924838,0.002201614,0.001321288,0.0002288927,0.00002161693,0.0003521524,0.9918352,0.00007121024,0.001043138],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03360028,"threshold_uncertainty_score":0.1124041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0193095291367091,"score_gpt":0.2296223167855312,"score_spread":0.2103127876488221,"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."}}