{"id":"W2950963405","doi":"10.1093/intbio/zyy002","title":"Time dependence of cellular responses to dynamic and complex strain fields","year":2019,"lang":"en","type":"article","venue":"Integrative Biology","topic":"Cellular Mechanics and Interactions","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; University of Ottawa","funders":"Ontario Ministry of Research and Innovation; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canada Foundation for Innovation","keywords":"Strain (injury); Perpendicular; Biophysics; Field (mathematics); Polydimethylsiloxane; Microfluidics; Orientation (vector space); Biological system; Materials science; Chemistry; Biology; Nanotechnology; Anatomy; Geometry; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000150052,0.0001831254,0.0001476671,0.00009207516,0.00008541562,0.0002223612,0.0001233046,0.0002016167,0.001223685],"category_scores_gemma":[0.0003135653,0.0001073426,0.0000838875,0.0001098755,0.0002350179,0.0001513637,0.0001517248,0.0002716004,0.0001401964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001863524,"about_ca_system_score_gemma":0.00009306496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004693875,"about_ca_topic_score_gemma":0.0009252963,"domain_scores_codex":[0.9998871,0.00001587897,0.000007766415,0.00002464107,0.00003459915,0.00003007793],"domain_scores_gemma":[0.9997867,0.0001014397,0.00003961371,0.00002381677,0.00002185567,0.00002666289],"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":[0.00005131436,0.00001059851,0.0002712938,0.00001237713,0.000002547605,0.00002115343,0.00001803332,0.00018232,0.9984494,0.00002636648,0.000009523294,0.0009451005],"study_design_scores_gemma":[0.000006287903,0.0002706657,0.02315577,0.000003234215,0.000005951826,0.00006271767,0.00006523932,0.002546194,0.9733555,0.00005057349,0.0004683294,0.00000970561],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977363,0.0002624071,0.001375561,0.00003316616,0.000009749243,0.000007076469,0.00008280687,0.00001405382,0.0004788254],"genre_scores_gemma":[0.9983445,0.0002505375,0.0007487722,0.00002397864,0.000004828997,0.00001843839,0.00008134537,0.000005305401,0.0005222675],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001223685,"threshold_uncertainty_score":0.004093647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01116292279129478,"score_gpt":0.2841176479895873,"score_spread":0.2729547251982926,"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."}}