{"id":"W4303685431","doi":"10.3390/cells11193158","title":"Mesenchymal Stem/Stromal Cells as a Therapeutic Tool in Cell-Based Therapy and Regenerative Medicine: An Introduction Expertise to the Topical Collection","year":2022,"lang":"en","type":"editorial","venue":"Cells","topic":"Mesenchymal stem cell research","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Canadian Institutes of Health Research; Centre National pour la Recherche Scientifique et Technique; Berlin-Brandenburg School for Regenerative Therapies; Bundesministerium für Bildung und Forschung; European Commission; Fonds De La Recherche Scientifique - FNRS; Université de Montréal; Deutsche Forschungsgemeinschaft; Arthritis Society","keywords":"Mesenchymal stem cell; Regenerative medicine; Medicine; Cell therapy; Stem-cell therapy; Stromal cell; Stem cell; Pathology; Biology; Cell 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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001736226,0.0006108736,0.0009675026,0.000556875,0.0004008383,0.0001123945,0.0004637225,0.0006804338,0.002390376],"category_scores_gemma":[0.0002238177,0.0004242095,0.0001427985,0.0009627742,0.0002610719,0.0001067309,0.0001577445,0.002098069,0.00005133596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000969066,"about_ca_system_score_gemma":0.001250839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000652623,"about_ca_topic_score_gemma":0.0001324078,"domain_scores_codex":[0.9933723,0.001455246,0.0007688582,0.001381599,0.002283963,0.0007380676],"domain_scores_gemma":[0.9969974,0.0009920478,0.0002160794,0.001105141,0.0003479015,0.0003413968],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002863519,0.0004110583,0.00003553421,0.0001661665,0.00006564648,0.0001336952,0.003125319,0.0001677485,0.1239483,0.00002398183,0.8630418,0.00601723],"study_design_scores_gemma":[0.00374911,0.0075785,0.00008311249,0.00008396187,0.00008133965,0.00001337655,0.001355086,0.0008425415,0.08773198,0.00001887175,0.8980196,0.0004424809],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.2816275,0.006376232,0.0002782944,0.01894946,0.6802828,0.009501155,0.00008068609,0.0001777563,0.002726089],"genre_scores_gemma":[0.06532361,0.002027913,0.0003198007,0.001935158,0.8656019,0.00192424,0.0005365312,0.0002804017,0.06205042],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.2163039,"threshold_uncertainty_score":0.9998209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03094609847904262,"score_gpt":0.3206680699127382,"score_spread":0.2897219714336955,"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."}}