{"id":"W2126516692","doi":"10.1074/jbc.m701063200","title":"A Quantitative Kinetic Model for the in Vitro Assembly of Intermediate Filaments from Tetrameric Vimentin","year":2007,"lang":"en","type":"article","venue":"Journal of Biological Chemistry","topic":"Skin and Cellular Biology Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":104,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Deutsche Forschungsgemeinschaft; Deutsches Krebsforschungszentrum; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Protein filament; Vimentin; Tetramer; Intermediate filament; Biophysics; Kinetics; Elongation; Ionic strength; Chemistry; Crystallography; Ionic bonding; Cytoskeleton; Nanotechnology; Materials science; Biology; Biochemistry; Cell; Ultimate tensile strength; Ion; Physics; Physical chemistry; Composite material","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":[0.0006314781,0.0009012342,0.0008709846,0.0007264861,0.0004406229,0.001060586,0.001929465,0.002004086,0.003598154],"category_scores_gemma":[0.001585264,0.0007097871,0.001165958,0.0004686581,0.0008232912,0.001521808,0.0004928845,0.001085248,0.001205431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001994622,"about_ca_system_score_gemma":0.001009386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006041074,"about_ca_topic_score_gemma":0.002495108,"domain_scores_codex":[0.9997421,0.00004803644,0.00001670899,0.00007046753,0.00006782964,0.00005492352],"domain_scores_gemma":[0.9994943,0.0002309497,0.000100958,0.0000422313,0.00009464879,0.0000370159],"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":[0.00003577707,0.00004173944,0.0002602449,0.00008110075,0.00001708238,0.0001443698,0.00006511497,0.9349582,0.01610377,0.04600901,0.0002898145,0.001993705],"study_design_scores_gemma":[0.000007889434,0.00001323539,0.00006822935,0.000004019879,0.000005078754,0.0000187581,0.000003940158,0.9947065,0.0007150273,0.003887664,0.0005623905,0.00000741592],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0992031,0.001109139,0.8802878,0.0007979744,0.0001363162,0.0001868919,0.0007666379,0.0004114911,0.01710061],"genre_scores_gemma":[0.8795331,0.001881785,0.08398155,0.0002005462,0.00007964019,0.001401974,0.0009215044,0.0001996124,0.03180014],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006041074,"threshold_uncertainty_score":0.01447207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03914234364315746,"score_gpt":0.3308828221067194,"score_spread":0.2917404784635619,"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."}}