{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001862478,0.0002925567,0.0001486267,0.0001957764,0.00009002927,0.0002406454,0.0001706989,0.0003106694,0.0006004322],"category_scores_gemma":[0.0001296517,0.0001965373,0.0002843262,0.00009311947,0.0002179815,0.0001583178,0.0002216027,0.0002678475,0.0002896308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002487515,"about_ca_system_score_gemma":0.00016974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003261207,"about_ca_topic_score_gemma":0.0006853428,"domain_scores_codex":[0.9998842,0.00001290579,0.000009803607,0.00002403693,0.00004997564,0.00001908418],"domain_scores_gemma":[0.9999158,0.00002155181,0.00003531981,0.00000989301,0.000007858963,0.000009562153],"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":[0.000007169188,0.000003939935,0.0000376781,0.00002072998,0.000002362423,0.00003193179,0.00001142568,0.0002860695,0.9982937,0.00009185106,0.00002744205,0.00118574],"study_design_scores_gemma":[0.000003476297,0.00004081038,0.0003653842,0.000001965264,0.000003798333,0.00009190958,0.000003945929,0.00137573,0.99657,0.00002196849,0.001516889,0.000004189561],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9147725,0.002580655,0.07702517,0.0001530869,0.0001321006,0.0001166815,0.0004038382,0.0006316225,0.004184474],"genre_scores_gemma":[0.9360209,0.001330668,0.05827285,0.00009781686,0.00002412098,0.0001056523,0.0002497465,0.00007849019,0.003819753],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006004322,"threshold_uncertainty_score":0.002008617,"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."}}