{"id":"W3035253808","doi":"10.1021/acsbiomaterials.0c00245","title":"Collagen-Based Microcapsules As Therapeutic Materials for Stem Cell Therapies in Infarcted Myocardium","year":2020,"lang":"en","type":"article","venue":"ACS Biomaterials Science & Engineering","topic":"Electrospun Nanofibers in Biomedical Applications","field":"Materials Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"Ontario Ministry of Economic Development, Job Creation and Trade; Ontario Institute for Regenerative Medicine; University of Ottawa Heart Institute Foundation; University of Ottawa","keywords":"Mesenchymal stem cell; Stem cell; Stromal cell; Regenerative medicine; Biomedical engineering; Extracellular matrix; Cell biology; Regeneration (biology); Bone marrow; Tissue engineering; Cell; Materials science; Chemistry; Medicine; Cancer research; Immunology; Biochemistry; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003398701,0.0003473966,0.0001863176,0.0004161748,0.0001276536,0.0002781707,0.0001503283,0.0003323276,0.0003972171],"category_scores_gemma":[0.0001704122,0.0001557615,0.0001800249,0.0001043772,0.0002264881,0.0002715825,0.0001403945,0.0003034935,0.0002116031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003441795,"about_ca_system_score_gemma":0.0002530635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004706429,"about_ca_topic_score_gemma":0.001092189,"domain_scores_codex":[0.9998976,0.00002002923,0.000008382911,0.00002551841,0.00003050044,0.00001795064],"domain_scores_gemma":[0.9998789,0.00004189299,0.00002994494,0.000007034498,0.00001660922,0.00002571361],"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":[0.00004632711,0.00002124976,0.00008012084,0.0001087036,0.000005412995,0.0001039388,0.0000240914,0.0004982575,0.9945514,0.0003504424,0.00006444759,0.004145535],"study_design_scores_gemma":[0.00001308012,0.0002308353,0.0006579047,0.00001414079,0.0000162587,0.0001867804,0.00001298967,0.001368343,0.9934563,0.00007486852,0.003960386,0.000008229904],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9182302,0.03010119,0.04586251,0.0004556546,0.0003313663,0.0002568424,0.0004106346,0.0003704475,0.003981083],"genre_scores_gemma":[0.9568111,0.007700098,0.03200842,0.0001612406,0.00008167524,0.0001880992,0.0001381973,0.00003887427,0.002872321],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004706429,"threshold_uncertainty_score":0.002497137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01205863009115969,"score_gpt":0.2352165133210238,"score_spread":0.2231578832298642,"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."}}