{"id":"W4362579664","doi":"10.1007/s00542-023-05439-4","title":"Design and parametric study of a tapered polymer-based suspended microfluidic channel for enhanced detection of biofluids and bioparticles","year":2023,"lang":"en","type":"article","venue":"Microsystem Technologies","topic":"Mechanical and Optical Resonators","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Concordia University","keywords":"Microchannel; Multiphysics; Microfluidics; Microsystem; Materials science; Parametric statistics; Nanotechnology; Biosensor; Fabrication; Microactuator; Microparticle; Optoelectronics; Biomedical engineering; Actuator; Optics; Finite element method; Engineering; Physics; Structural engineering; Electrical engineering","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":[0.0002672413,0.0001418595,0.0003453597,0.0002774697,0.00007685497,0.00001902029,0.0001335024,0.00009927522,0.00000201739],"category_scores_gemma":[0.00008148516,0.0001138551,0.00004695357,0.0007311859,0.0001126134,0.00003127771,0.00009973344,0.00006766492,0.000001263832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008276474,"about_ca_system_score_gemma":0.00001593014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006759434,"about_ca_topic_score_gemma":0.000002007931,"domain_scores_codex":[0.9990109,0.0000384887,0.0003425762,0.00028155,0.0000997955,0.0002266633],"domain_scores_gemma":[0.9991673,0.0004103957,0.0001253326,0.0001989499,0.00006856863,0.00002950938],"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":[0.00009045091,0.0001470949,0.0005630427,0.0001263753,0.00004575386,3.103001e-7,0.00006624739,0.000002423067,0.9829551,0.0006960962,0.000004828731,0.01530226],"study_design_scores_gemma":[0.001101475,0.0008775474,0.000206634,0.00004973933,0.0000384017,2.653784e-7,0.005050231,0.001394818,0.9893093,0.001851996,0.000006662911,0.0001129244],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9658086,0.00104687,0.03199152,0.00004143845,0.00003118966,0.0008823281,0.00002582672,0.0001699282,0.00000227195],"genre_scores_gemma":[0.9994561,0.00002673207,0.000306924,0.000001237852,0.000004955974,0.0001787608,0.000002184668,0.00001254102,0.00001053357],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0336475,"threshold_uncertainty_score":0.4642876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02485762113289742,"score_gpt":0.2561692840077302,"score_spread":0.2313116628748328,"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."}}