{"id":"W2141976514","doi":"10.1007/1-4020-4891-2_38","title":"The Mechanics of Early Embryo Development: Insights from Finite Element Modeling","year":2007,"lang":"en","type":"book-chapter","venue":"Solid mechanics and its applications","topic":"Cellular Mechanics and Interactions","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Finite element method; Process (computing); Embryo; Neurulation; Structural engineering; Computer science; Mechanics; Biological system; Engineering; Physics; Biology; Embryogenesis; Cell biology","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":[0.0003273211,0.0006264911,0.0007297331,0.0006633524,0.0002944719,0.001095122,0.001392379,0.001101385,0.002743977],"category_scores_gemma":[0.0006940488,0.000708547,0.0005752512,0.0006993552,0.001258157,0.001156355,0.0005970693,0.001502459,0.001237782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004736107,"about_ca_system_score_gemma":0.0006105897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001497874,"about_ca_topic_score_gemma":0.001849398,"domain_scores_codex":[0.9998355,0.00002164974,0.000006982827,0.00002016511,0.0001077209,0.000007913955],"domain_scores_gemma":[0.9997393,0.0001780142,0.00001345431,0.00002273853,0.00003697959,0.000009444867],"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":[0.00002691772,0.00006014469,0.0005231049,0.0005278294,0.00003880364,0.0001789192,0.0003094843,0.3817044,0.02593217,0.3534259,0.009695408,0.2275768],"study_design_scores_gemma":[0.000006614049,0.0000240159,0.000675686,0.0001776176,0.00002019676,0.0003122838,0.00006830899,0.6804114,0.005670386,0.2323342,0.08025923,0.00003998192],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006181569,0.02113256,0.9406929,0.001021723,0.0002529409,0.00002357561,0.0001522321,0.0003775859,0.03016482],"genre_scores_gemma":[0.2269896,0.07411505,0.6233222,0.0005243422,0.0004645627,0.0001997406,0.0005076824,0.0005469853,0.07332995],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002743977,"threshold_uncertainty_score":0.009179533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02297122547850857,"score_gpt":0.253919515372239,"score_spread":0.2309482898937304,"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."}}