{"id":"W4387377309","doi":"10.1016/j.bpj.2023.10.001","title":"Shape-driven confluent rigidity transition in curved biological tissues","year":2023,"lang":"en","type":"article","venue":"Biophysical Journal","topic":"Cellular Mechanics and Interactions","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"SickKids Foundation; University of Toronto; Hospital for Sick Children","funders":"Canadian Institutes of Health Research; Canada First Research Excellence Fund","keywords":"Curvature; Rigidity (electromagnetism); Phase transition; Instability; Geometry; Mean curvature; Transition point; Physics; Biophysics; Mechanics; Mathematics; Condensed matter physics; Biology","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":[0.000101181,0.0002188737,0.0001813389,0.000377233,0.0004756085,0.0006081327,0.0004161879,0.0003029234,0.003297849],"category_scores_gemma":[0.0006048549,0.0002851431,0.0002570047,0.0001363179,0.0006202449,0.0004817992,0.0007541017,0.0005384324,0.0006404573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000379659,"about_ca_system_score_gemma":0.0002755719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006058433,"about_ca_topic_score_gemma":0.000713392,"domain_scores_codex":[0.9998879,0.00001423267,0.000002832319,0.00002220307,0.00002963681,0.00004301284],"domain_scores_gemma":[0.9997399,0.00006318233,0.00004620601,0.00003206728,0.00002155279,0.0000970407],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002692305,0.0001034085,0.0008263099,0.00007500686,0.00001518426,0.0009432683,0.0003304963,0.01663112,0.9302852,0.04478851,0.0006854927,0.00504672],"study_design_scores_gemma":[0.0001313317,0.0006063873,0.01968514,0.00003426342,0.00002621188,0.001853632,0.0007238428,0.2760976,0.6440206,0.05293258,0.003751741,0.0001366883],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9644113,0.0002539216,0.02284448,0.0001951377,0.00003329103,0.00003599547,0.00008197928,0.0002186571,0.01192521],"genre_scores_gemma":[0.9969574,0.00008499611,0.0009975412,0.00003504933,0.000006866446,0.00001168952,0.00004260764,0.00002845775,0.001835339],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003297849,"threshold_uncertainty_score":0.01103234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03140107517719719,"score_gpt":0.2905193986260204,"score_spread":0.2591183234488232,"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."}}