{"id":"W4413048367","doi":"10.1242/dev.204663","title":"Adhesion strength, cell packing density and cell surface buckling in pericellular matrix-mediated tissue cohesion","year":2025,"lang":"en","type":"article","venue":"Development","topic":"Cellular Mechanics and Interactions","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; University of Toronto","keywords":"Materials science; Adhesion; Cell adhesion; Buckling; Adhesive; Matrix (chemical analysis); Stiffening; Fibronectin; Composite material; Biophysics; Extracellular matrix; Cell biology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001961944,0.0001497705,0.0001343618,0.0000719752,0.0001179968,0.00003309717,0.00008664569,0.000137382,0.00002222821],"category_scores_gemma":[0.00002567316,0.0001566537,0.00002504063,0.0001315423,0.00001167454,0.000004590448,0.0001719869,0.0001200431,0.00001340791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005067925,"about_ca_system_score_gemma":0.0001181141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003098532,"about_ca_topic_score_gemma":0.00005534049,"domain_scores_codex":[0.9990644,0.00004144206,0.0002472771,0.0003445196,0.00009552272,0.0002068575],"domain_scores_gemma":[0.9996414,0.00002037604,0.00006231316,0.0001649554,0.00005428396,0.0000566399],"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":[0.00002351097,0.00008266639,0.002649184,0.000052514,0.000007922763,0.000009400678,0.0001575664,0.00004990219,0.9958999,0.00001397008,0.0001934449,0.0008600447],"study_design_scores_gemma":[0.0004033073,0.00003676297,0.001537768,0.00005434809,0.000007361619,0.000001992856,0.000260447,0.000913027,0.9577578,0.000008299975,0.03885113,0.0001677855],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931739,0.001378614,0.004350745,0.00005512713,0.0002020695,0.0001685467,0.000002268066,0.00001182244,0.0006569175],"genre_scores_gemma":[0.9923844,0.0004449198,0.004741334,0.00007303277,0.00001817955,0.000006191694,0.0001687444,0.00001322156,0.002149943],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03865769,"threshold_uncertainty_score":0.6388153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005180321524519641,"score_gpt":0.2335944510666914,"score_spread":0.2284141295421718,"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."}}