{"id":"W4401777044","doi":"10.1093/stcltm/szae062.016","title":"Abstract 16: Tissue Engineering Approach Using Heterogeneous Hydrogel Combined with Umbilical Cord Derived Multipotent Stem Cells for the Consequences Military Spinal Cord Injury Neurosurgical Treatment (Case Report)","year":2024,"lang":"en","type":"article","venue":"Stem Cells Translational Medicine","topic":"Tissue Engineering and Regenerative Medicine","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Umbilical cord; Spinal cord injury; Stem cell; Spinal cord; Multipotent Stem Cell; Medicine; Tissue engineering; Biomedical engineering; Anatomy; Biology; Cell biology; Progenitor cell","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005073085,0.0005913585,0.0008716039,0.0002045243,0.000216721,0.00002130725,0.0001149829,0.0001691576,0.00005444656],"category_scores_gemma":[0.00001235065,0.0003333836,0.0002059921,0.0003316421,0.000542535,0.00006662758,0.00001230627,0.0003986893,0.000003765302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001909238,"about_ca_system_score_gemma":0.0002275978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000174269,"about_ca_topic_score_gemma":0.00001487044,"domain_scores_codex":[0.9970259,0.00005653745,0.0009233918,0.0008052108,0.0006955518,0.0004934061],"domain_scores_gemma":[0.9982034,0.0007260811,0.000104706,0.0004179077,0.0001487955,0.0003991391],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.01099648,0.0006959144,0.00006862491,0.002956902,0.001731332,0.06914018,0.0008657874,0.1235076,0.7263473,0.0002864706,0.0002255501,0.06317787],"study_design_scores_gemma":[0.01031361,0.02758464,0.0002318711,0.002986837,0.002802548,0.1294709,0.0007886178,0.5122308,0.2949769,0.00001869361,0.01749735,0.001097309],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8436847,0.03187995,0.1172034,0.002020775,0.00162955,0.003147868,0.000125189,0.0002863743,0.00002225021],"genre_scores_gemma":[0.9938639,0.0001687441,0.003965952,0.00005003047,0.0009770449,0.0002187917,0.0001149212,0.0001009063,0.0005397326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4313704,"threshold_uncertainty_score":0.9999118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05121679036053891,"score_gpt":0.3025973171150935,"score_spread":0.2513805267545546,"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."}}