{"id":"W7117236927","doi":"10.1021/acsami.5c24718","title":"Synergistic Multi-Peptide Interfaces Enhance Early Osteogenic Differentiation of Mesenchymal Stem Cells","year":2025,"lang":"en","type":"article","venue":"ACS Applied Materials & Interfaces","topic":"Supramolecular Self-Assembly in Materials","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Hôpital Saint-François d'Assise","funders":"Natural Sciences and Engineering Research Council of Canada; Conseil Régional Aquitaine; Université Laval; Université de Bordeaux; Agence Nationale de la Recherche; Centre québécois sur les matériaux fonctionnels; Fondation CHU de Québec","keywords":"Mesenchymal stem cell; Biomaterial; Regenerative medicine; Silanization; Stem cell; Extracellular matrix; Cell; Gene expression","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":[0.0001247248,0.0004100263,0.0001769075,0.0001628499,0.00006675407,0.0002177966,0.0001317202,0.0002175347,0.0009303764],"category_scores_gemma":[0.000101444,0.0001197796,0.0001833042,0.0001034413,0.0001476472,0.0001823063,0.0002614312,0.0002542657,0.0002001008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001273695,"about_ca_system_score_gemma":0.0001132273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001454422,"about_ca_topic_score_gemma":0.0004168621,"domain_scores_codex":[0.9998838,0.0000164264,0.000009131063,0.00002316532,0.00003951594,0.00002788603],"domain_scores_gemma":[0.9999409,0.00001563094,0.00001763533,0.000003583545,0.000007365127,0.00001485579],"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":[0.00002579269,0.000009523197,0.00003542007,0.00001660267,0.000001622366,0.000012467,0.00000425507,0.00005258659,0.9990315,0.0000186059,0.000009405464,0.0007821381],"study_design_scores_gemma":[0.000004044909,0.000105656,0.0005325364,0.000001216654,0.000005200844,0.00003073962,0.000005810743,0.0004877101,0.9984614,0.00000681999,0.0003571002,0.000001847275],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950282,0.0006676026,0.003100749,0.00002638964,0.00001912008,0.00002175739,0.00005829631,0.00005256432,0.001025385],"genre_scores_gemma":[0.9944348,0.0004311342,0.00421142,0.00003994817,0.000009967155,0.00002296574,0.00005328808,0.00001323565,0.000783395],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009303764,"threshold_uncertainty_score":0.003112376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01019454827516083,"score_gpt":0.2540588997691521,"score_spread":0.2438643514939912,"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."}}