{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009970118,0.0005889051,0.0007904812,0.001043022,0.001169148,0.001387185,0.0006759771,0.0009423376,0.002736276],"category_scores_gemma":[0.007637966,0.0005669033,0.0003342193,0.0003822802,0.00128095,0.001237722,0.0008098573,0.0007430554,0.0005839335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008840002,"about_ca_system_score_gemma":0.002029341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00242368,"about_ca_topic_score_gemma":0.002353779,"domain_scores_codex":[0.999191,0.0001050321,0.00006176029,0.00009337351,0.0003408345,0.000207997],"domain_scores_gemma":[0.9968228,0.001735035,0.0005401744,0.0001800189,0.0004438377,0.0002780258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000666152,0.0003503082,0.004798145,0.0004776324,0.00003683756,0.00105792,0.0003838587,0.2844553,0.3783979,0.3160455,0.003289778,0.01004069],"study_design_scores_gemma":[0.0002380172,0.0001441298,0.001944095,0.00005186168,0.00001932638,0.0001763999,0.000213889,0.7032549,0.2325192,0.05852544,0.002829751,0.00008295348],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7275785,0.0005462955,0.2497068,0.001075723,0.0001802676,0.0003622427,0.0008690148,0.0008976817,0.01878353],"genre_scores_gemma":[0.9737818,0.00020536,0.02413511,0.00006984941,0.00001973448,0.0003045615,0.0002782076,0.00007509001,0.001130363],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002736276,"threshold_uncertainty_score":0.009153724,"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."}}