{"id":"W2936828686","doi":"10.3389/fbioe.2019.00081","title":"A Microfluidic System for Studying the Effects of Disturbed Flow on Endothelial Cells","year":2019,"lang":"en","type":"article","venue":"Frontiers in Bioengineering and Biotechnology","topic":"Cellular Mechanics and Interactions","field":"Biochemistry, Genetics and Molecular Biology","cited_by":114,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Health and Medical Research Council; Medical Research Council; RMIT University; Australian Research Council; Ontario Ministry of Natural Resources and Forestry","keywords":"Laminar flow; Blood flow; Endothelium; Hemodynamics; Cytoskeleton; Cell biology; Biophysics; Flow (mathematics); Chemistry; Biology; Anatomy; Materials science; Mechanics; Internal medicine; Medicine; Physics; Endocrinology; Biochemistry; Cell","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008440635,0.0001060922,0.0001557319,0.0001005044,0.00002858487,0.000006480633,0.0001277833,0.0001847773,3.059863e-7],"category_scores_gemma":[0.00002569888,0.00008076651,0.00005471989,0.00007226571,0.00003201135,0.000001381509,0.00005040827,0.0001015935,7.06924e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000169615,"about_ca_system_score_gemma":0.000007716457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005150019,"about_ca_topic_score_gemma":6.780638e-7,"domain_scores_codex":[0.9994611,0.00001256441,0.0001294568,0.000205835,0.00003519892,0.0001558171],"domain_scores_gemma":[0.9996886,0.00002120062,0.00003918194,0.000223518,0.00001264105,0.00001490222],"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":[0.00004993649,0.000022958,0.0001233938,0.0001680711,0.00004517406,7.520732e-7,0.00002028958,0.00003479207,0.9959748,0.0002865339,0.0007097041,0.002563568],"study_design_scores_gemma":[0.0005919184,0.0005379664,0.00003552057,0.00007213882,0.00001282129,0.000005303721,0.0002051975,0.003523881,0.9760627,0.00001106056,0.01884902,0.00009246553],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9464642,0.004367469,0.04604918,0.0001057029,0.002411244,0.000534682,0.00002964143,0.00002298254,0.00001484062],"genre_scores_gemma":[0.9972383,0.001123425,0.00143493,0.00001790566,0.00004740653,0.00003675578,0.00001086943,0.00001482546,0.00007558556],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05077404,"threshold_uncertainty_score":0.3293563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002593017341263364,"score_gpt":0.1774562086681818,"score_spread":0.1748631913269185,"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."}}