{"id":"W2147257738","doi":"10.1242/jcs.051383","title":"Dynein and kinesin regulate stress-granule and P-body dynamics","year":2009,"lang":"en","type":"article","venue":"Journal of Cell Science","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":180,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universidad de Buenos Aires; Fogarty International Center; Agencia Nacional de Promoción Científica y Tecnológica; Brigham and Women's Hospital; Consejo Nacional de Investigaciones Científicas y Técnicas; McGill University; National Institutes of Health","keywords":"Kinesin; Dynein; Cell biology; Biology; Stress granule; Gene knockdown; Ribonucleoprotein; Dynactin; Molecular motor; Microtubule; Cytoplasm; Motor protein; RNA; Messenger RNA; Translation (biology); Biochemistry; Gene","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006944517,0.0002135387,0.0001135469,0.0001376859,0.0001087855,0.0003567636,0.0001217495,0.0002134326,0.0004335869],"category_scores_gemma":[0.0001221107,0.0001414676,0.00008639339,0.00006400797,0.0002147132,0.0002745643,0.0002516509,0.0001896272,0.0001849049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003968333,"about_ca_system_score_gemma":0.0001554455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005108183,"about_ca_topic_score_gemma":0.001089977,"domain_scores_codex":[0.9999288,0.00000716493,0.000006650598,0.00002185235,0.00001570832,0.00001978765],"domain_scores_gemma":[0.9999001,0.00001079293,0.00003565702,0.000007423269,0.00001611254,0.00002994763],"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":[0.00005381175,0.000003419764,0.0008786657,0.00001290725,0.000002350546,0.0000364079,0.00001583752,0.00008596814,0.9973356,0.0001952509,0.00002660417,0.001353077],"study_design_scores_gemma":[0.00002388023,0.0001163319,0.04708164,0.000008458671,0.00001775668,0.0003362111,0.0001004789,0.00439917,0.9450367,0.0003022583,0.002566807,0.00001018976],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967768,0.0008867295,0.001565289,0.00003655051,0.000005940985,0.000004726649,0.00007375721,0.00003644762,0.0006137072],"genre_scores_gemma":[0.9977062,0.0003695518,0.0006915872,0.00001031575,0.000002229573,0.000006127137,0.00009050914,0.00001080406,0.001112658],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005108183,"threshold_uncertainty_score":0.002879262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00401602691478607,"score_gpt":0.2520573527833039,"score_spread":0.2480413258685179,"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."}}