{"id":"W7117771829","doi":"10.1002/smll.202504493","title":"Heart‐On‐a‐Chip with Integrated Ultrasoft Mechanosensors for Continuous Measurement of Cell‐ and Tissue‐Scale Contractile Stresses","year":2025,"lang":"en","type":"article","venue":"Small","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; University of British Columbia; University of Toronto; McGill University; Université de Montréal; Institut de recherche Robert-Sauvé en santé et en sécurité du travail; Montreal Clinical Research Institute; Centre Hospitalier Universitaire Sainte-Justine","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds de Recherche du Québec - Santé; Polytechnique Montréal; Fonds de recherche du Québec – Nature et technologies; CMC Microsystems","keywords":"Polydimethylsiloxane; Extracellular matrix; Contraction (grammar); Pillar; Mechanotransduction; Stress (linguistics); Mechanobiology; Viscoelasticity","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":[0.0002386575,0.0003773261,0.0002605551,0.0002447564,0.0001167644,0.000296481,0.0006404235,0.000458065,0.001135091],"category_scores_gemma":[0.0002400159,0.0002577819,0.0002023082,0.0001256139,0.0002736862,0.0003153927,0.0004071995,0.0005690934,0.0003248958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002566203,"about_ca_system_score_gemma":0.0002552173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003671527,"about_ca_topic_score_gemma":0.001470824,"domain_scores_codex":[0.9997516,0.00001983977,0.00001281619,0.00005880465,0.0001306927,0.00002609978],"domain_scores_gemma":[0.9997465,0.00007725949,0.00006670602,0.0000397515,0.00003903215,0.00003061563],"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":[0.00001323287,0.00002104116,0.0001059617,0.00002656948,0.000005449695,0.00002432686,0.00001005288,0.0002256989,0.993544,0.0001877063,0.0001785334,0.005657353],"study_design_scores_gemma":[0.00001204921,0.0001411793,0.002107125,0.00000350447,0.00001619192,0.0001152327,0.00001172639,0.01360132,0.9796355,0.0001178718,0.004219119,0.00001916916],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5940768,0.00213161,0.3947465,0.0003311661,0.0003965445,0.000191638,0.0009459027,0.002406907,0.00477298],"genre_scores_gemma":[0.6615983,0.001029718,0.3306335,0.000369265,0.00007670831,0.0004511499,0.0006292706,0.0001533417,0.00505875],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001135091,"threshold_uncertainty_score":0.003797233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01592500790898571,"score_gpt":0.2479191071598257,"score_spread":0.23199409925084,"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."}}