{"id":"W3158130201","doi":"10.3389/fncel.2021.654290","title":"Transplantation of Human Cortically-Specified Neuroepithelial Progenitor Cells Leads to Improved Functional Outcomes in a Mouse Model of Stroke","year":2021,"lang":"en","type":"article","venue":"Frontiers in Cellular Neuroscience","topic":"Neurogenesis and neuroplasticity mechanisms","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital; University of Toronto","funders":"Canada First Research Excellence Fund; Heart and Stroke Foundation of Canada","keywords":"Transplantation; Neuroepithelial cell; Neural stem cell; Stroke (engine); Neuroscience; Population; Progenitor cell; Biology; Stroke recovery; Neurogenesis; Stem cell; Cell therapy; Medicine; Internal medicine; Rehabilitation; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004124384,0.0007106832,0.0006942225,0.000904097,0.0002162111,0.000588154,0.0004021293,0.0006934521,0.001833206],"category_scores_gemma":[0.0001974446,0.0002723451,0.0004361734,0.0004018557,0.0004278989,0.0004550226,0.0003048123,0.001584884,0.0005786877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002424343,"about_ca_system_score_gemma":0.0003800111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009182006,"about_ca_topic_score_gemma":0.001277635,"domain_scores_codex":[0.999657,0.00003112295,0.00006835582,0.00007041484,0.0001019099,0.00007118219],"domain_scores_gemma":[0.9997479,0.00002275222,0.00007670552,0.00003398539,0.00003178524,0.00008674104],"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":[0.0004966618,0.0002921611,0.000219141,0.00007431617,0.00002084793,0.0001939283,0.000052205,0.0002077389,0.9954132,0.0001639499,0.0001130645,0.002752788],"study_design_scores_gemma":[0.0001072547,0.002610746,0.005574172,0.00005217574,0.00009284032,0.0005560357,0.0001065344,0.001443046,0.9868639,0.0001673963,0.002410418,0.00001548349],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916036,0.00104544,0.003869766,0.000183443,0.00009513174,0.00008818443,0.001067038,0.0002351775,0.001812298],"genre_scores_gemma":[0.9775921,0.002613937,0.004485974,0.0001799423,0.00002566415,0.0002244764,0.001881046,0.00008624224,0.01291062],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001833206,"threshold_uncertainty_score":0.006132662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03950012117683294,"score_gpt":0.2469984820247869,"score_spread":0.2074983608479539,"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."}}