{"id":"W4388079465","doi":"10.3390/mi14112033","title":"Comparison of PDMS and NOA Microfluidic Chips: Deformation, Roughness, Hydrophilicity and Flow Performance","year":2023,"lang":"en","type":"article","venue":"Micromachines","topic":"Microfluidic and Capillary Electrophoresis Applications","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Microfluidics; Polydimethylsiloxane; Materials science; Volumetric flow rate; Surface roughness; Flow (mathematics); Flow measurement; Composite material; Nanotechnology; Mechanics","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":[0.0003880606,0.0003794282,0.0002489741,0.0004191977,0.0001509781,0.0002907058,0.0002462213,0.00029406,0.0006528355],"category_scores_gemma":[0.000830644,0.0001855919,0.000256578,0.0002919209,0.0002576343,0.0002959486,0.0002174704,0.0001700748,0.0001579044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002032393,"about_ca_system_score_gemma":0.000206119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002934439,"about_ca_topic_score_gemma":0.0005922698,"domain_scores_codex":[0.9996308,0.00003047623,0.00004398905,0.0000807005,0.0001722423,0.00004184739],"domain_scores_gemma":[0.9993333,0.0003172302,0.0001373778,0.00006244858,0.00009949587,0.00005018363],"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":[0.0000820367,0.00002382982,0.001030999,0.00007834099,0.00001219502,0.00003232709,0.00003394953,0.0002210241,0.9938341,0.0001075346,0.00004862744,0.004495052],"study_design_scores_gemma":[0.000008191519,0.0003666018,0.02174587,0.000007530083,0.000033865,0.000206784,0.00004741853,0.002005797,0.9736892,0.00005486291,0.001814502,0.00001928186],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9862092,0.001892978,0.009857182,0.0001133151,0.00007655286,0.00004777544,0.0005246618,0.00008609435,0.001192174],"genre_scores_gemma":[0.9716571,0.001673806,0.0240913,0.00008661642,0.00002505054,0.0000804474,0.0005694603,0.00002101528,0.00179531],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006528355,"threshold_uncertainty_score":0.002183974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01002687728965214,"score_gpt":0.2362263614943644,"score_spread":0.2261994842047122,"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."}}