{"id":"W2055759385","doi":"10.1115/sbc2008-192940","title":"Comparison of Three Material Models to Predict the Time-Dependent Deformation of a Single Cell Under Micropipette Aspiration","year":2008,"lang":"en","type":"article","venue":"ASME 2008 Summer Bioengineering Conference, Parts A and B","topic":"Cellular Mechanics and Interactions","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Pipette; Viscoelasticity; Hyperelastic material; Rheology; Deformation (meteorology); Materials science; Creep; Mechanics; Rotational symmetry; Finite element method; Standard linear solid model; Composite material; Biomedical engineering; Structural engineering; Physics; Chemistry; Engineering","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":[0.00005619305,0.0001061983,0.000140189,0.00004627102,0.0000552918,0.0000152429,0.00008369986,0.00006762288,0.00002537995],"category_scores_gemma":[0.00000312942,0.00008443843,0.00004087879,0.00004667986,0.00003354519,0.00001173411,0.00005316274,0.00004355945,0.000004089266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006178369,"about_ca_system_score_gemma":0.00002690818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005212613,"about_ca_topic_score_gemma":0.00003502252,"domain_scores_codex":[0.9993923,0.00001043983,0.0002457536,0.0001340329,0.00009800866,0.0001194315],"domain_scores_gemma":[0.9996088,0.000004303185,0.00008632686,0.0001641142,0.00009552494,0.00004093285],"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":[0.00002830918,0.00006899024,0.0002750322,0.00001687507,0.00002398069,2.216516e-7,0.0001768421,0.004188632,0.9945656,0.0001731525,0.0003168882,0.0001654514],"study_design_scores_gemma":[0.0002039874,0.000399071,0.0003571688,0.00002136718,0.00002251806,0.000009590312,0.00007217166,0.0381088,0.9590919,0.00003576018,0.001560236,0.0001174495],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9026228,0.0001493837,0.0964992,0.0000489452,0.0001324092,0.0001676875,0.00003395824,0.000007149304,0.0003384863],"genre_scores_gemma":[0.9993437,0.0000333287,0.0003321811,0.00002807651,0.00004235808,0.00001037739,0.00008611984,0.00001015227,0.0001136873],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09672093,"threshold_uncertainty_score":0.3443299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04064316002468698,"score_gpt":0.2388259692106871,"score_spread":0.1981828091860001,"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."}}