{"id":"W4399939927","doi":"10.1016/j.biomaterials.2024.122682","title":"Tension directs cancer cell migration over fiber alignment through energy minimization","year":2024,"lang":"en","type":"article","venue":"Biomaterials","topic":"Cellular Mechanics and Interactions","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Division of Graduate Education; National Science Foundation; National Cancer Institute; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; National Institute of General Medical Sciences; American Heart Association","keywords":"Cell migration; Tension (geology); Materials science; Traverse; Fiber; Motility; Biological system; Matrix (chemical analysis); Cancer metastasis; Cancer cell; Biophysics; Computer science; Nanotechnology; Cell; Composite material; Cell biology; Chemistry; Biology; Cancer","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":[0.00008021557,0.0001995192,0.0001343257,0.0001391,0.0002371828,0.0003085692,0.0002104596,0.0002185321,0.001283859],"category_scores_gemma":[0.0002171859,0.000124391,0.0001149913,0.0001164023,0.0002482336,0.0002761373,0.0003007766,0.0002323953,0.0002060058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000194647,"about_ca_system_score_gemma":0.0002266553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005006918,"about_ca_topic_score_gemma":0.001383034,"domain_scores_codex":[0.9999485,0.000007728265,0.000002504009,0.00001150902,0.0000181232,0.00001159883],"domain_scores_gemma":[0.9999282,0.00002176491,0.00002576921,0.00000506131,0.000007599318,0.00001159602],"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":[0.00007424368,0.00007428922,0.0005621537,0.000057204,0.000007978317,0.00006529308,0.00002822943,0.009652887,0.9797075,0.001768101,0.0001072118,0.007895003],"study_design_scores_gemma":[0.00006334754,0.0006120425,0.007379516,0.00002643016,0.00003187794,0.0002538828,0.0001323382,0.2788136,0.7047614,0.002818211,0.00506632,0.00004102158],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9763203,0.0004767577,0.01947309,0.0001641096,0.00002385428,0.00001385896,0.00003144693,0.00005917108,0.003437512],"genre_scores_gemma":[0.9951777,0.0002837074,0.003458752,0.00002960359,0.000004426292,0.00001731638,0.00002518686,0.00001722052,0.0009860812],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001283859,"threshold_uncertainty_score":0.004294932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01082130652478259,"score_gpt":0.2621666525184652,"score_spread":0.2513453459936826,"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."}}