{"id":"W4289077445","doi":"10.1101/2022.07.30.502112","title":"Propagation dynamics of electrotactic motility in large epithelial cell sheets","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Planarian Biology and Electrostimulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Winnipeg; University of Manitoba","funders":"Air Force Office of Scientific Research; National Eye Institute; Natural Sciences and Engineering Research Council of Canada; Multidisciplinary University Research Initiative; National Natural Science Foundation of China; Shenzhen Fundamental Research Program; Shenzhen Engineering Laboratory of Single-molecule Detection and Instrument Development; Hangzhou Normal University; National Science Foundation","keywords":"Cell migration; Motility; Epithelium; In silico; Wound healing; Dynamics (music); Directionality; Enhanced Data Rates for GSM Evolution; Cell biology; Leading edge; Cell; Biology; Biophysics; Physics; Computer science; Mechanics; Telecommunications; Immunology; Acoustics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007084096,0.000308923,0.0003485515,0.0001621028,0.00009200848,0.000018768,0.0003452135,0.0006071867,0.00005217078],"category_scores_gemma":[0.0001731691,0.0003606834,0.0001114347,0.0002438535,0.00005650435,0.000007799239,0.0003295971,0.0006346757,0.000003920388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002124683,"about_ca_system_score_gemma":0.0005190067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004615796,"about_ca_topic_score_gemma":0.00005070661,"domain_scores_codex":[0.9979406,0.0002801257,0.0004499222,0.0007204305,0.0001745067,0.0004344165],"domain_scores_gemma":[0.9986696,0.00002039642,0.000384405,0.0006960995,0.0001587434,0.00007070475],"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":[0.0001902091,0.0002608581,0.0459949,0.0001687263,0.00004814918,0.000007784083,0.000003384096,0.0005628506,0.952489,0.0002210532,0.00005174055,0.000001350409],"study_design_scores_gemma":[0.0006890025,0.0002362138,0.3025316,0.00002934333,0.00004419661,2.033627e-8,0.00000144675,0.004153085,0.691394,0.000005102826,0.0005635213,0.0003524296],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939151,0.0003857368,0.003690817,0.0001661702,0.0003265624,0.0006045023,0.0008606829,0.00003161866,0.00001881588],"genre_scores_gemma":[0.9990826,0.0001422306,0.0003254047,0.0001176786,0.0001271515,0.0001057173,0.00004546803,0.00004595654,0.00000777894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.261095,"threshold_uncertainty_score":0.9998845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005747673779796021,"score_gpt":0.2107281882814193,"score_spread":0.2049805145016232,"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."}}