{"id":"W3194528443","doi":"10.1002/wcms.1570","title":"Moving in the mesoscale: Understanding the mechanics of cytoskeletal molecular motors by combining mesoscale simulations with imaging","year":2021,"lang":"en","type":"article","venue":"Wiley Interdisciplinary Reviews Computational Molecular Science","topic":"Microtubule and mitosis dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Biotechnology and Biological Sciences Research Council; Medical Research Council; Directorate for Biological Sciences; Engineering and Physical Sciences Research Council; VIT University; University of Leeds; Medical Research Council Canada; Wellcome Trust","keywords":"Mesoscale meteorology; Computer science; Cytoskeleton; Molecular motor; Visualization; Motor protein; Computational science; Artificial intelligence; Nanotechnology; Chemistry; Physics; Microtubule; Cell; Biology; Materials science","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":[0.0003071258,0.0002723415,0.0003167348,0.0003541964,0.0002530447,0.001097886,0.0006057405,0.0005424176,0.001121301],"category_scores_gemma":[0.001131261,0.0003245379,0.0003489865,0.0003630669,0.0008825579,0.001749934,0.0007043828,0.0008024127,0.0002218075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000594784,"about_ca_system_score_gemma":0.0005966591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004415747,"about_ca_topic_score_gemma":0.002846372,"domain_scores_codex":[0.9999274,0.00001930822,0.00000454459,0.00001496765,0.0000263567,0.000007447326],"domain_scores_gemma":[0.9997024,0.0001628577,0.00003941594,0.00004633007,0.00001974336,0.00002911198],"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":[0.00003542934,0.00004371086,0.001714972,0.00006711091,0.00005418763,0.0001051559,0.00007436326,0.900497,0.02191841,0.05680572,0.001143302,0.01754061],"study_design_scores_gemma":[0.000005644707,0.000003132663,0.0003039833,0.000004374155,0.00000301055,0.000007263585,0.00000821289,0.9812728,0.0009699575,0.016696,0.0007193128,0.000006224017],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.3296827,0.002612795,0.6473081,0.005564729,0.0002587743,0.00006518674,0.0003400204,0.001169961,0.01299773],"genre_scores_gemma":[0.886279,0.001759208,0.1097805,0.0002378542,0.0001186686,0.00008015014,0.0001654004,0.0002114585,0.001367811],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.004415747,"threshold_uncertainty_score":0.008780122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01286120775688716,"score_gpt":0.2868335414667741,"score_spread":0.273972333709887,"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."}}