{"id":"W2078473280","doi":"10.1073/pnas.1505652112","title":"Alpha-actinin binding kinetics modulate cellular dynamics and force generation","year":2015,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Cellular Mechanics and Interactions","field":"Biochemistry, Genetics and Molecular Biology","cited_by":105,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Division of Materials Research; National Institute of Diabetes and Digestive and Kidney Diseases; National Institute of General Medical Sciences; Natural Sciences and Engineering Research Council of Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Kinetics; Biophysics; Chemistry; Dynamics (music); Molecular dynamics; Cell biology; Physics; Biology; Computational chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004811285,0.00005967613,0.00006392505,0.00005440875,0.00007984786,0.00002097817,0.0002027958,0.00006767896,0.000001705479],"category_scores_gemma":[0.000211922,0.00004564493,0.00003373486,0.0001530477,0.0001392343,0.00002114821,0.0001141814,0.00005828149,3.155743e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001779147,"about_ca_system_score_gemma":0.00001672423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003118185,"about_ca_topic_score_gemma":4.193137e-7,"domain_scores_codex":[0.9992663,0.000003845684,0.0001621742,0.0001693605,0.0003186979,0.00007963293],"domain_scores_gemma":[0.9995615,0.000006417019,0.0001909422,0.00000801858,0.0001999854,0.00003307661],"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":[0.000004571053,0.00001436331,0.0003528851,0.000006051633,0.000007389917,1.617038e-9,0.00002347066,0.0001230078,0.9892102,0.00975674,0.0003078811,0.0001933826],"study_design_scores_gemma":[0.0001027083,0.00008779333,0.0002923252,0.000009902472,0.000007385671,0.000006777034,0.0001357759,0.0468343,0.9493769,0.002692591,0.0003992329,0.00005425216],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975135,0.0001238867,0.0001214906,0.0005875137,0.00004023477,0.00007475734,0.00001080081,0.000002180719,0.001525648],"genre_scores_gemma":[0.9980657,0.00003762365,0.001275253,0.00007097769,0.00009883654,0.000002820471,0.000002472286,0.000003846128,0.0004424626],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0467113,"threshold_uncertainty_score":0.1861346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04868003615348777,"score_gpt":0.2947202930343282,"score_spread":0.2460402568808405,"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."}}