{"id":"W4405045469","doi":"10.1088/1748-605x/ad9af1","title":"Injectable, cryopreservable mesenchymal stromal cell-loaded microbeads for pro-angiogenic therapy: in vitro proof-of-concept","year":2024,"lang":"en","type":"article","venue":"Biomedical Materials","topic":"Mesenchymal stem cell research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Université de Montréal; McGill University; Centre Hospitalier de l’Université de Montréal; Cegep Edouard Montpetit","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Mesenchymal stem cell; Viability assay; Gelatin; Paracrine signalling; Stromal cell; Chitosan; Biomedical engineering; Cryopreservation; Tissue engineering; Materials science; Wound healing; Cell; Chemistry; Cell biology; Immunology; Medicine; Cancer research; Biology; Biochemistry","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":[0.0004343114,0.0004898303,0.0002845453,0.0001570201,0.0001140831,0.0002914356,0.0002659647,0.0004666974,0.0007190419],"category_scores_gemma":[0.0001734871,0.0001249647,0.0003011287,0.0001042856,0.0001794797,0.0002514556,0.0001292517,0.0004630479,0.0002425686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003281078,"about_ca_system_score_gemma":0.0002458758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000528469,"about_ca_topic_score_gemma":0.0006263732,"domain_scores_codex":[0.9998742,0.00002354271,0.00001169381,0.0000211668,0.000047848,0.00002155437],"domain_scores_gemma":[0.9998851,0.00003121575,0.00003343754,0.000008074393,0.00002324238,0.0000188572],"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":[0.00002715077,0.00003499733,0.00002429225,0.00006832529,0.000003510324,0.00003101549,0.00001136392,0.0001048346,0.9987265,0.00005759171,0.00003695351,0.0008734176],"study_design_scores_gemma":[0.000008047858,0.0001789789,0.0001869379,0.000003120843,0.000008830046,0.00004838824,0.000004324349,0.000712638,0.9980877,0.00001377596,0.0007442087,0.000002999185],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9219251,0.006203541,0.06789967,0.0003525214,0.0001905033,0.000389323,0.000927712,0.0003286936,0.001783043],"genre_scores_gemma":[0.9638286,0.002822331,0.03087397,0.0001098112,0.0000455812,0.000207127,0.0003744093,0.00003456232,0.001703566],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007190419,"threshold_uncertainty_score":0.002405405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04025848464979322,"score_gpt":0.320110691805534,"score_spread":0.2798522071557408,"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."}}