{"id":"W2030012418","doi":"10.1038/srep08622","title":"Structurally Governed Cell Mechanotransduction through Multiscale Modeling","year":2015,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Cellular Mechanics and Interactions","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Air Force Office of Scientific Research; National Institute of Biomedical Imaging and Bioengineering; National Institute of Allergy and Infectious Diseases; Division of Civil, Mechanical and Manufacturing Innovation; National Cancer Institute; National Institutes of Health; National Science Foundation","keywords":"Mechanotransduction; Filamin; Mechanosensitive channels; Actin; Biophysics; FLNA; Multiscale modeling; Biological system; Chemistry; Nanotechnology; Cytoskeleton; Computer science; Materials science; Biology; Cell biology; Cell; Bioinformatics; Ion channel; Biochemistry","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":[0.0003991615,0.0006111076,0.0007446894,0.0005692285,0.0005409232,0.001111611,0.001417692,0.001672423,0.001812915],"category_scores_gemma":[0.001107436,0.0005367315,0.001074213,0.0003520994,0.0009958114,0.001214984,0.001160032,0.000906102,0.0002899391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001276407,"about_ca_system_score_gemma":0.000755559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008310771,"about_ca_topic_score_gemma":0.003982433,"domain_scores_codex":[0.9998463,0.00004786766,0.000007218519,0.00002906437,0.00004200256,0.00002749973],"domain_scores_gemma":[0.9996635,0.0001418888,0.00005950664,0.00003630561,0.00004019553,0.00005865877],"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":[0.00001881373,0.00002683289,0.0003816273,0.00002193927,0.00002396033,0.00005927858,0.00003804554,0.9599127,0.003895924,0.03422749,0.0002562107,0.001137168],"study_design_scores_gemma":[0.000004128862,0.000004155182,0.00006088336,0.000001399809,0.000002366472,0.000004288067,0.000002629119,0.9962429,0.00005765074,0.003461174,0.0001556337,0.000002896242],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3088973,0.001583916,0.6489938,0.003261507,0.0002024489,0.0001645174,0.0006149411,0.0007697677,0.03551186],"genre_scores_gemma":[0.9654984,0.0008082576,0.02724595,0.0001919906,0.00008956246,0.0002665399,0.0001650308,0.0001197203,0.005614365],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008310771,"threshold_uncertainty_score":0.01652479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02459035426873464,"score_gpt":0.2534621832108508,"score_spread":0.2288718289421162,"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."}}