{"id":"W2058706104","doi":"10.1080/10255840601124704","title":"A new cell-based FE model for the mechanics of embryonic epithelia","year":2007,"lang":"en","type":"article","venue":"Computer Methods in Biomechanics & Biomedical Engineering","topic":"Cellular Mechanics and Interactions","field":"Biochemistry, Genetics and Molecular Biology","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Stiffening; Finite element method; Cytoplasm; Mechanics; Organelle; Cell; Embryonic stem cell; Viscosity; Constant (computer programming); Biological system; Biophysics; Materials science; Chemistry; Physics; Computer science; Cell biology; Biology; Composite material; Thermodynamics","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":[0.002021091,0.0002499004,0.0002815274,0.0002758013,0.00005365091,0.00002004506,0.0005305894,0.000306715,0.000009459113],"category_scores_gemma":[0.0001384769,0.0002112603,0.0002537623,0.000444118,0.00001834875,0.00000534496,0.0002126356,0.0002313355,0.000001092189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004752753,"about_ca_system_score_gemma":0.0001706294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001365076,"about_ca_topic_score_gemma":0.000005440034,"domain_scores_codex":[0.9983629,0.00004041258,0.0005155774,0.0004127609,0.0002061998,0.0004621545],"domain_scores_gemma":[0.9987843,0.0002764016,0.0001372175,0.0005222696,0.00008995998,0.0001898427],"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":[0.00004468907,0.00007959244,2.037821e-7,0.00006368674,0.00003883887,0.00000144189,0.00003313323,0.008877045,0.9442934,0.002373997,0.0003447671,0.04384919],"study_design_scores_gemma":[0.0004997168,0.0001825751,7.760382e-7,0.00002798715,0.00001982048,0.000004151607,0.000008733606,0.6313437,0.3531493,0.0005366813,0.01407687,0.0001497529],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00104429,0.0008197099,0.996138,0.0001655743,0.001413192,0.0003653802,0.00002165255,0.00002691661,0.000005305148],"genre_scores_gemma":[0.09756836,0.00009628133,0.9015103,0.000218403,0.0003664166,0.00002816398,0.0000600707,0.00006065613,0.00009137399],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6224666,"threshold_uncertainty_score":0.8614945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01801518493089679,"score_gpt":0.314179226159962,"score_spread":0.2961640412290653,"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."}}