{"id":"W4416293337","doi":"10.1021/acsbiomaterials.5c01372","title":"Spatial Photopatterning of Substrate Stiffness in Dual-Cure Silicones for Cardiac Mechano-Regulation","year":2025,"lang":"en","type":"article","venue":"ACS Biomaterials Science & Engineering","topic":"Cellular Mechanics and Interactions","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Fonds de Recherche du Québec - Santé; Fonds de recherche du Québec – Nature et technologies; Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Consejo Nacional de Ciencia y Tecnología","keywords":"Mechanotransduction; Polydimethylsiloxane; Stiffness; Extracellular matrix; Cytoskeleton; Mechanobiology; Substrate (aquarium); Fibroblast; Focal adhesion","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":[0.0001054044,0.0002592168,0.00007306863,0.0001359829,0.00008795835,0.0001593094,0.0001420731,0.000190079,0.0007476168],"category_scores_gemma":[0.0001311099,0.0002376944,0.0001055486,0.00009020278,0.0001703364,0.0001597761,0.0001805931,0.0002553794,0.0001899131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001940408,"about_ca_system_score_gemma":0.000160939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002124524,"about_ca_topic_score_gemma":0.0008155532,"domain_scores_codex":[0.9999386,0.000006184691,0.000004875903,0.00001695138,0.0000221942,0.00001124179],"domain_scores_gemma":[0.9998616,0.00004065957,0.00005281375,0.00001713288,0.00001216212,0.00001561702],"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":[0.000008049658,0.000002894193,0.00003433275,0.00001421125,5.679265e-7,0.00001261612,0.000005204998,0.00007990722,0.9992712,0.00003676673,0.00001140419,0.0005227489],"study_design_scores_gemma":[0.000006404664,0.00004212277,0.00127271,0.000003405295,0.000003041671,0.00007486936,0.000009635155,0.002020023,0.9953537,0.00003046399,0.001179087,0.000004569627],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9788495,0.0009283729,0.01685745,0.00009663222,0.00006239795,0.00003677181,0.0002534479,0.0001261079,0.002789361],"genre_scores_gemma":[0.9714391,0.0007840446,0.02510159,0.0000752817,0.00001124029,0.00004973971,0.0001672148,0.0000372846,0.002334535],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007476168,"threshold_uncertainty_score":0.00250107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006396919483347537,"score_gpt":0.2446540231608943,"score_spread":0.2382571036775468,"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."}}