{"id":"W2981536461","doi":"10.1002/bit.27211","title":"Manipulation of micro‐ and nanoparticles in viscoelastic fluid flows within microfluid systems","year":2019,"lang":"en","type":"review","venue":"Biotechnology and Bioengineering","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Microfluidics; Nanotechnology; Microchannel; Biological fluids; Sorting; Viscoelasticity; Particle (ecology); Nanoparticle; Computer science; Materials science; Biochemical engineering; Chemistry; Engineering; Biology; Chromatography","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":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0001694503,0.0004417481,0.001206535,0.0007634194,0.00002644989,0.00002594438,0.0001920555,0.00132893,8.872105e-7],"category_scores_gemma":[0.00002841822,0.0003835899,0.00007012369,0.0004249563,0.0001525558,0.0000569329,0.0001521104,0.0004560518,0.000006833532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006450791,"about_ca_system_score_gemma":0.00001969797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001283192,"about_ca_topic_score_gemma":0.000003317847,"domain_scores_codex":[0.998529,0.00001972653,0.0006907972,0.0003656702,0.00006483275,0.0003300364],"domain_scores_gemma":[0.9994556,0.00006259671,0.0001014665,0.000336075,0.00001330414,0.00003100222],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007085947,0.00002610545,0.00004878053,0.04789171,0.0002550871,0.00003576175,0.00005922468,0.0005167265,0.7406501,0.001531838,0.00009629806,0.2088813],"study_design_scores_gemma":[0.00156247,0.0005603786,0.00009500738,0.06684612,0.001830939,0.002170468,0.0004540289,0.07115775,0.3409226,0.00009244819,0.5101645,0.004143316],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.05716822,0.9406933,0.0006402751,0.00001247273,0.000445186,0.0004521924,0.00002549704,0.0005583714,0.000004522936],"genre_scores_gemma":[0.05792346,0.9411622,0.0007978482,0.000001027976,0.0000211902,0.00001510208,0.00001553573,0.000055146,0.00000853877],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.5100682,"threshold_uncertainty_score":0.9999676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02780447637299582,"score_gpt":0.2347631423271826,"score_spread":0.2069586659541868,"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."}}