{"id":"W2901673728","doi":"10.1016/j.biomaterials.2018.11.020","title":"Initial cell maturity changes following transplantation in a hyaluronan-based hydrogel and impacts therapeutic success in the stroke-injured rodent brain","year":2018,"lang":"en","type":"article","venue":"Biomaterials","topic":"Neurogenesis and neuroplasticity mechanisms","field":"Neuroscience","cited_by":63,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Canada First Research Excellence Fund; University of Toronto","keywords":"Transplantation; Progenitor cell; Regeneration (biology); Population; Stroke (engine); Stem cell; Biology; Neural stem cell; Neuroscience; Medicine; Cell biology; Surgery","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":[0.0003093117,0.0001673536,0.0001985383,0.0003910918,0.0001682867,0.0005098036,0.0001341015,0.0003049751,0.001354468],"category_scores_gemma":[0.0003670804,0.0001333061,0.0001495663,0.000255039,0.0002237946,0.0007491427,0.0002554975,0.0005515881,0.0002198397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001713216,"about_ca_system_score_gemma":0.0002979678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004067943,"about_ca_topic_score_gemma":0.0007633974,"domain_scores_codex":[0.9998821,0.00001157666,0.0000137096,0.00001722317,0.00003784577,0.00003753106],"domain_scores_gemma":[0.9997278,0.0000419339,0.00008466666,0.00001311407,0.00005410486,0.00007839016],"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":[0.0005543528,0.00009824189,0.003139239,0.00003875208,0.0000132715,0.0001289485,0.0001641052,0.0001187603,0.991155,0.0002689137,0.00004227415,0.004278053],"study_design_scores_gemma":[0.00001663254,0.0006182131,0.03150752,0.00002305507,0.00004911875,0.0002760977,0.0002997292,0.001216936,0.9645553,0.000206573,0.001218835,0.0000120605],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970711,0.0006565686,0.001301868,0.00002207962,0.000009257477,0.00001444201,0.0001180661,0.00001536235,0.0007912806],"genre_scores_gemma":[0.9973534,0.0005441845,0.0005899795,0.00001918298,0.00000511006,0.00002910071,0.0001787269,0.00001153582,0.001268819],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001354468,"threshold_uncertainty_score":0.004531085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03695936044437124,"score_gpt":0.3026379034128989,"score_spread":0.2656785429685277,"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."}}