{"id":"W2344335337","doi":"10.1186/s12951-016-0187-8","title":"Contribution of actin filaments and microtubules to cell elongation and alignment depends on the grating depth of microgratings","year":2016,"lang":"en","type":"article","venue":"Journal of Nanobiotechnology","topic":"Cellular Mechanics and Interactions","field":"Biochemistry, Genetics and Molecular Biology","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Mechanobiology Institute, Singapore; National Research Foundation of Korea; National University of Singapore; National Research Foundation","keywords":"Elongation; Protein filament; Microtubule; Biophysics; Actin; Cytoskeleton; Materials science; Chemistry; Cell; Optics; Cell biology; Biology; Physics; Biochemistry; Ultimate tensile strength; Composite material","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":[0.000222544,0.00006722561,0.000121939,0.00007660976,0.0000370444,0.000005440417,0.00008080731,0.0001260652,0.000004043427],"category_scores_gemma":[0.0001700707,0.00004000148,0.00004037741,0.0000468879,0.00004714466,0.000004110025,0.00005893452,0.00007009316,2.302517e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001297925,"about_ca_system_score_gemma":0.00001656623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004987064,"about_ca_topic_score_gemma":0.00001029832,"domain_scores_codex":[0.9994625,0.00003301207,0.0002676559,0.00009233404,0.00006125615,0.00008322576],"domain_scores_gemma":[0.9993212,0.00003493852,0.0003878312,0.000101684,0.0001309908,0.00002335036],"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":[0.00006494075,0.00004016989,0.0003519014,0.000003960734,0.00003047852,5.682752e-7,0.00002280998,5.25991e-7,0.9903527,0.0004138137,0.0001172844,0.008600831],"study_design_scores_gemma":[0.0004056181,0.001105194,0.0003214366,0.00006070306,0.0000166297,0.00005043132,0.0001492529,0.000004957618,0.9952137,0.000139024,0.002491038,0.00004204793],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934106,0.0002628716,0.004258343,0.001889567,0.0000581963,0.00009476934,0.00001163265,0.000001293164,0.00001271679],"genre_scores_gemma":[0.9987495,0.0003997555,0.0007342676,0.00006394872,0.00001687945,0.000001994635,0.000001965451,0.000004978136,0.00002672688],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008558784,"threshold_uncertainty_score":0.1631213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005353550403418467,"score_gpt":0.2216627905422803,"score_spread":0.2163092401388619,"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."}}