{"id":"W2335799466","doi":"10.15562/gnc.54","title":"Stem Cell Therapy for Neurodegenerative Diseases: Strategies for Regeneration against Degeneration","year":2017,"lang":"en","type":"article","venue":"Journal of Genes and Cells","topic":"Pluripotent Stem Cells Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Neurodegeneration; Amyotrophic lateral sclerosis; Neuroscience; Stem cell; Stem-cell therapy; Medicine; Disease; Regeneration (biology); Multiple sclerosis; Transplantation; Degeneration (medical); Spinal cord injury; Pathology; Spinal cord; Biology; Immunology; Surgery","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002518308,0.0001368939,0.0001740349,0.00004059348,0.0004229289,0.0003060387,0.0002191765,0.00008800151,0.000001433108],"category_scores_gemma":[0.000007757501,0.0001091149,0.0001479669,0.00001313865,0.00005543486,0.00003310872,0.00003873089,0.00004545547,3.433866e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009717142,"about_ca_system_score_gemma":0.00019395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001627362,"about_ca_topic_score_gemma":0.00001035331,"domain_scores_codex":[0.9991485,0.00005288079,0.0002727506,0.0002100487,0.0001378276,0.0001779296],"domain_scores_gemma":[0.9988669,0.00002036967,0.0003860414,0.000238456,0.0003860862,0.0001021608],"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":[0.000373175,0.00005994077,0.0001553976,0.00004401391,0.00003704655,0.000001533551,0.00003714802,0.001658429,0.9738345,0.0000493453,0.00272351,0.02102593],"study_design_scores_gemma":[0.001494579,0.00104414,0.0001596723,0.000008622865,0.0000232639,0.000004335337,0.0001662447,0.001493582,0.9711183,0.00009893585,0.02425932,0.0001289701],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9616315,0.008022384,0.02912199,0.0002303707,0.0003663792,0.0004614269,0.00007896843,0.000001913973,0.00008508843],"genre_scores_gemma":[0.9855296,0.01042064,0.001656987,0.000120542,0.00107635,0.00003492332,0.00004938874,0.00002487732,0.001086666],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.027465,"threshold_uncertainty_score":0.4449576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02428347551228345,"score_gpt":0.2887513323801159,"score_spread":0.2644678568678324,"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."}}