{"id":"W3213287358","doi":"10.1115/imece2000-2522","title":"Conditions for Cell Sorting, Mixing and Checkerboard Pattern Formation Determined Using Mechanics and Computer Simulations","year":2000,"lang":"en","type":"article","venue":"Advances in Bioengineering","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Checkerboard; Mixing (physics); Sorting; Mechanics; Computer science; Statistical physics; Physics; Mathematics; Geometry; Algorithm","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00004353084,0.0001298733,0.0001307814,0.0001113501,0.00006694235,0.00002980027,0.00004392206,0.00007038876,0.000003538421],"category_scores_gemma":[0.000006514103,0.0001408366,0.00001774987,0.00009517856,0.0000167091,0.0003360326,0.00001906592,0.00007582048,4.649782e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003299661,"about_ca_system_score_gemma":0.000001949619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002461427,"about_ca_topic_score_gemma":0.000007721371,"domain_scores_codex":[0.999428,0.000003213283,0.0002079803,0.0001265795,0.00003782714,0.000196341],"domain_scores_gemma":[0.9998091,0.00004695555,0.00002293007,0.00008472699,0.00001168228,0.00002460675],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006766523,0.00001662496,0.0006621536,0.0006433318,0.00001239272,0.000004973767,0.0004349394,0.6435167,0.1965242,0.00021024,0.00002877472,0.1579389],"study_design_scores_gemma":[0.0002854947,0.00001993706,0.00009392915,0.00009606283,0.000009193102,0.00001271721,0.00004153393,0.9754464,0.02266574,0.0003190598,0.0008408342,0.0001691061],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5444,0.001474137,0.4537048,0.000006689501,0.00006990402,0.0001219917,0.000013791,0.0001997944,0.000008899501],"genre_scores_gemma":[0.9652984,0.001043861,0.03356547,0.00001326991,0.00003452545,0.000006464001,0.00001540385,0.00002023947,0.000002435905],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4208983,"threshold_uncertainty_score":0.574315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01079341707932612,"score_gpt":0.233230018133685,"score_spread":0.2224366010543589,"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."}}