{"id":"W3023806255","doi":"","title":"STEM CELLS AND THEIR ROLE IN MODERN MEDICINE","year":2018,"lang":"en","type":"article","venue":"Knowledge International Journal","topic":"Science, Research, and Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stem cell; Embryonic stem cell; Biology; Adult stem cell; Cell biology; Stem cell theory of aging; Clinical uses of mesenchymal stem cells; Cell type; Amniotic epithelial cells; Multicellular organism; Stem cell transplantation for articular cartilage repair; Regeneration (biology); Cellular differentiation; Regenerative medicine; Immunology; Cell; Haematopoiesis; Genetics; Stem cell factor","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001557423,0.0003814628,0.0007557286,0.001120884,0.0007512398,0.002553876,0.0007476695,0.001913061,0.003613089],"category_scores_gemma":[0.001277367,0.0001535797,0.0002598228,0.0009473185,0.005665447,0.002149688,0.001587425,0.003626353,0.001652961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001132249,"about_ca_system_score_gemma":0.001664611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007995695,"about_ca_topic_score_gemma":0.0005590541,"domain_scores_codex":[0.9993557,0.0002155341,0.00004962417,0.0001057685,0.0002162028,0.00005701606],"domain_scores_gemma":[0.999385,0.0002617081,0.0000572165,0.00004801113,0.0001494921,0.00009858463],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001025457,0.00006486844,0.0006208022,0.001818728,0.00003662366,0.0004655708,0.0017841,0.0004812797,0.004950937,0.4800328,0.03748754,0.472154],"study_design_scores_gemma":[0.00001144617,0.00009553316,0.000565794,0.0007822017,0.00001485817,0.0007069617,0.0003075192,0.0001362704,0.001095547,0.1634604,0.8328024,0.00002099426],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001691276,0.9520717,0.005530457,0.01402286,0.002664116,0.00001506272,0.00005299642,0.00004914698,0.02390235],"genre_scores_gemma":[0.06755874,0.8904807,0.008194343,0.007562886,0.00821088,0.00007643381,0.0001051866,0.000033672,0.01777717],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003613089,"threshold_uncertainty_score":0.01208699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03729226766694164,"score_gpt":0.3581428993822563,"score_spread":0.3208506317153146,"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."}}