{"id":"W2269305777","doi":"10.1038/srep11745","title":"Multiple scale model for cell migration in monolayers: Elastic mismatch between cells enhances motility","year":2015,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Cellular Mechanics and Interactions","field":"Biochemistry, Genetics and Molecular Biology","cited_by":104,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies; Compute Canada","keywords":"Motility; Cancer cell; Elasticity (physics); Cell; Monolayer; Biophysics; Chemistry; Materials science; Cell biology; Cancer; Biology; Nanotechnology; Biochemistry","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":[0.0001664594,0.0005259655,0.0005653746,0.000417393,0.0004591295,0.0006174233,0.001086666,0.001436561,0.001996563],"category_scores_gemma":[0.0004439737,0.0003279383,0.000991496,0.0002896553,0.0005681295,0.0008582085,0.000785157,0.0006566068,0.0003610625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006921461,"about_ca_system_score_gemma":0.0005356357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005416286,"about_ca_topic_score_gemma":0.002317618,"domain_scores_codex":[0.9999028,0.00002277489,0.000004702174,0.00002030647,0.00002618696,0.00002316264],"domain_scores_gemma":[0.9998767,0.00003154426,0.00002300574,0.00001351871,0.00001931846,0.00003591905],"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":[0.00006634345,0.00008998896,0.001173538,0.00006822139,0.00004106611,0.0003693622,0.00009832813,0.9097129,0.04413994,0.04150146,0.0005674554,0.002171507],"study_design_scores_gemma":[0.00001604483,0.00003016194,0.0002708056,0.000003294703,0.000007132022,0.00003476386,0.0000138688,0.9964836,0.0004700507,0.002305007,0.0003557507,0.00000948598],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5468452,0.00128658,0.4241776,0.002322341,0.0003326304,0.0001523,0.0005415218,0.000297648,0.02404419],"genre_scores_gemma":[0.9649479,0.0007092895,0.02433697,0.0002785124,0.00007380611,0.0003015748,0.0001563033,0.0000608202,0.009134714],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005416286,"threshold_uncertainty_score":0.01076949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0261750947637788,"score_gpt":0.2625443906952034,"score_spread":0.2363692959314246,"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."}}