{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001082978,0.0001634502,0.0002503035,0.0001141578,0.0001441913,0.0000227078,0.0001055777,0.0000690548,0.00001280365],"category_scores_gemma":[0.000005831469,0.0001515999,0.00002809892,0.0003309267,0.00008482204,0.0001123843,0.00005098934,0.0001092698,0.00002602151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000015139,"about_ca_system_score_gemma":0.000008599842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002211189,"about_ca_topic_score_gemma":0.000003220433,"domain_scores_codex":[0.9992422,0.00001465225,0.0002995506,0.0001547188,0.0000824778,0.0002063622],"domain_scores_gemma":[0.9996727,0.00002677879,0.0000407407,0.0001788631,0.00002792111,0.00005304148],"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":[0.000006455516,0.00001714237,0.02501518,0.000284744,0.00002982101,3.311075e-7,0.0008736058,0.00008202255,0.9404613,0.00005346841,0.02750278,0.005673197],"study_design_scores_gemma":[0.0005083976,0.0000731716,0.1468664,0.00006265745,0.00004925554,0.00004744989,0.0001534786,0.07342038,0.7486598,0.0002227576,0.0295278,0.0004084712],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9452388,0.05381972,0.0002941806,0.00007190539,0.00004906294,0.0001458054,0.00003386327,0.0001980308,0.0001486724],"genre_scores_gemma":[0.9374188,0.06227819,0.00007462631,0.00001824289,0.00003655894,0.00001881828,0.00009510191,0.00002373126,0.00003593099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1918015,"threshold_uncertainty_score":0.6182065,"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."}}