{"id":"W3152516432","doi":"10.1002/anbr.202000077","title":"3D Bioprinting Human‐Induced Pluripotent Stem Cells and Drug‐Releasing Microspheres to Produce Responsive Neural Tissues","year":2021,"lang":"en","type":"article","venue":"Advanced NanoBiomed Research","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Alzheimer's Association; Innovate BC; Michael Smith Health Research BC; University of Victoria","keywords":"Retinoic acid; Neural stem cell; Induced pluripotent stem cell; Tissue engineering; 3D bioprinting; Cell biology; Stem cell; Chemistry; Regenerative medicine; Neurosphere; Self-healing hydrogels; Drug delivery; Biomedical engineering; Embryonic stem cell; Materials science; Biology; Nanotechnology; Biochemistry; Adult stem cell","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001525501,0.0003618448,0.0004552825,0.0006469662,0.0006171917,0.0003405757,0.0006322627,0.0001864591,0.00009908564],"category_scores_gemma":[0.0009259112,0.0003691038,0.00007660053,0.002676382,0.0003643697,0.000238353,0.001138976,0.00127882,0.0002060525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003571182,"about_ca_system_score_gemma":0.0001657834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006616972,"about_ca_topic_score_gemma":0.00003229256,"domain_scores_codex":[0.9945763,0.0005738634,0.0005776645,0.001094398,0.001418985,0.001758772],"domain_scores_gemma":[0.9964718,0.001025808,0.00004629981,0.0009037093,0.000875227,0.0006771893],"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":[0.00005304303,0.00004612804,0.0001140542,0.0003468381,0.00004015621,0.0002320231,0.0005996339,0.0003024726,0.847323,0.00002886801,0.0004902518,0.1504235],"study_design_scores_gemma":[0.0005781306,0.0001197128,0.001211197,0.0003589598,0.000005847678,0.00003247039,0.00126004,0.000943274,0.9705258,0.00006003414,0.024502,0.0004025479],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941227,0.00249601,0.0001417763,0.001037409,0.0004866758,0.000880778,0.00001598502,0.0003502725,0.0004684333],"genre_scores_gemma":[0.9855536,0.0003893771,0.00949007,0.00004568403,0.0002273087,0.0001262573,0.00001028495,0.0001420413,0.00401534],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.150021,"threshold_uncertainty_score":0.9998761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04171855343871302,"score_gpt":0.3465947522868999,"score_spread":0.3048761988481869,"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."}}