{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005750512,0.0002027412,0.0002318507,0.0001817708,0.0001217389,0.0001769858,0.0002550791,0.00008064869,0.00002139599],"category_scores_gemma":[0.00007741048,0.0001508858,0.00004205271,0.0002339219,0.00007572246,0.0001232249,0.00002560154,0.00002828879,0.00001074342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001750303,"about_ca_system_score_gemma":0.00003519924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001005873,"about_ca_topic_score_gemma":0.0003650396,"domain_scores_codex":[0.997981,0.0006603863,0.0002790866,0.0004198225,0.0002989111,0.0003608218],"domain_scores_gemma":[0.9992431,0.000405548,0.0001031796,0.0001869518,0.000008925694,0.00005225305],"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":[0.0002552452,0.0001083613,0.0003141174,0.00004769987,0.000001235083,0.0001644937,0.0005280373,7.767769e-7,0.998321,0.00007601422,0.000002725639,0.000180295],"study_design_scores_gemma":[0.001155962,0.000482412,0.01276277,0.00004354221,0.00001587077,0.00002379606,0.00002234504,0.0001696479,0.9850764,0.00006564756,0.00002752002,0.0001540654],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99826,0.00002335038,0.00003549425,0.0004345592,0.0005592951,0.0005127924,0.0001034973,0.00004112691,0.00002986976],"genre_scores_gemma":[0.9975495,0.00002089298,0.00001494956,0.002241195,0.00009414563,0.00004661935,0.000005318817,0.00002391651,0.000003452072],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01324457,"threshold_uncertainty_score":0.6152943,"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."}}