{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001564358,0.0003674182,0.000518762,0.0002731926,0.0002481054,0.0005055927,0.001233762,0.0001533366,0.00017577],"category_scores_gemma":[0.00008004876,0.0003321096,0.00006289149,0.001407615,0.0004445133,0.0003457307,0.0001577685,0.00003366934,0.0001476312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002211146,"about_ca_system_score_gemma":0.0004275554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003984057,"about_ca_topic_score_gemma":0.000001583183,"domain_scores_codex":[0.9967799,0.0000633021,0.0007098638,0.0008227949,0.0006685239,0.0009556063],"domain_scores_gemma":[0.998716,0.0001814327,0.0001975215,0.000440487,0.0002024838,0.0002620769],"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":[0.00005604882,0.00004118794,0.00001663996,0.00008412962,0.000005018313,0.00000268481,0.000479007,0.0001784393,0.9979652,0.0009653719,0.00006746281,0.0001388743],"study_design_scores_gemma":[0.0006656336,0.0001826812,0.0003814725,0.00004135742,0.00001543966,0.00000410383,0.00007597557,0.0003151525,0.994998,0.0001358695,0.002785742,0.0003985145],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987508,0.0003104895,0.008340035,0.001471822,0.0006975387,0.001111564,0.0001474473,0.0003874401,0.00002564838],"genre_scores_gemma":[0.9851481,0.00002190747,0.01311299,0.0009841021,0.0001771435,0.0004705606,0.00001930204,0.00005664625,0.00000930122],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004772959,"threshold_uncertainty_score":0.9999131,"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."}}