{"id":"W2101252590","doi":"10.1146/annurev-bioeng-061008-124915","title":"Microengineered Platforms for Cell Mechanobiology","year":2009,"lang":"en","type":"article","venue":"Annual Review of Biomedical Engineering","topic":"Cellular Mechanics and Interactions","field":"Biochemistry, Genetics and Molecular Biology","cited_by":410,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institute of Allergy and Infectious Diseases; Ontario Ministry of Research and Innovation; Canada Research Chairs; Prevent Cancer Foundation; American Heart Association","keywords":"Mechanobiology; Cell mechanics; Microscale chemistry; Mechanotransduction; Tissue engineering; Cell; Biology; Nanotechnology; Cell biology; Neuroscience; Materials science; Cytoskeleton","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":[0.0002964437,0.0004680349,0.0004165034,0.0003900156,0.000217941,0.0006608085,0.0005691449,0.0007755103,0.00202429],"category_scores_gemma":[0.0002427681,0.0002356597,0.0002850961,0.0002915579,0.0003800644,0.0009234991,0.0005164347,0.0007405508,0.001043239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003412414,"about_ca_system_score_gemma":0.0002277315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001233816,"about_ca_topic_score_gemma":0.0002810835,"domain_scores_codex":[0.9997568,0.00002670377,0.00001482641,0.00003574931,0.0001452958,0.00002072594],"domain_scores_gemma":[0.9999056,0.00002856728,0.00002315069,0.00001650364,0.00001582738,0.00001038038],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000288285,0.00004202483,0.0001083121,0.000430785,0.00001715393,0.0002213124,0.00005030432,0.001601613,0.9142863,0.02155346,0.001513593,0.06014627],"study_design_scores_gemma":[0.00004791066,0.0004434607,0.0009198592,0.0001236656,0.00005016677,0.0008809468,0.0000565626,0.008009986,0.7077673,0.01259299,0.269045,0.00006214681],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.1966013,0.3055092,0.4333408,0.003415518,0.005206786,0.0004918569,0.0009527684,0.001806431,0.05267531],"genre_scores_gemma":[0.5344606,0.1295694,0.3025913,0.001272378,0.0008830251,0.0007194885,0.0008550389,0.0001394143,0.02950932],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.00202429,"threshold_uncertainty_score":0.006771922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003542721759186586,"score_gpt":0.2371019024364531,"score_spread":0.2335591806772666,"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."}}