{"id":"W2892252605","doi":"10.1002/adbi.201800133","title":"Engineering Neural Tissue from Human Pluripotent Stem Cells Using Novel Small Molecule Releasing Microspheres","year":2018,"lang":"en","type":"article","venue":"Advanced Biosystems","topic":"Tissue Engineering and Regenerative Medicine","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Canada Research Chairs; Stem Cell Network","keywords":"Induced pluripotent stem cell; OLIG2; Neural tissue engineering; Regenerative medicine; Tissue engineering; Retinoic acid; Motor neuron; Spinal cord; Neural stem cell; Biomedical engineering; Stem cell; Cell biology; Chemistry; Materials science; Biology; Biochemistry; Embryonic stem cell; Medicine; Neuroscience; Central nervous system; Oligodendrocyte; Gene; Myelin","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":[0.0002122856,0.0002625182,0.0001771139,0.0001780551,0.00008639784,0.0003024611,0.0001667677,0.0002473602,0.0004856347],"category_scores_gemma":[0.0001170223,0.0001510337,0.0002230988,0.0001019108,0.0001562822,0.0002498445,0.0002170971,0.0002471315,0.0001903763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001671033,"about_ca_system_score_gemma":0.0001698586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002582589,"about_ca_topic_score_gemma":0.0003764742,"domain_scores_codex":[0.9999076,0.00001120759,0.00001164591,0.00001953927,0.00003949146,0.00001045875],"domain_scores_gemma":[0.9999192,0.00001669653,0.00003118207,0.000007456852,0.00001341444,0.00001201195],"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":[0.00001642335,0.000006834777,0.00005133828,0.00003781247,0.000002932643,0.00005222462,0.000009253575,0.0001465024,0.9965302,0.0001710675,0.00003468263,0.002940758],"study_design_scores_gemma":[0.00001465795,0.0001242271,0.0002397807,0.000003097588,0.00001022165,0.0001295936,0.000005085155,0.000955107,0.9962041,0.00003522043,0.002274864,0.000004103601],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8875048,0.005335107,0.1028687,0.0002414596,0.0001599623,0.0001636648,0.000288225,0.0005781547,0.002859907],"genre_scores_gemma":[0.9359598,0.002257247,0.05705431,0.00007900172,0.00003958675,0.0001311628,0.0001876761,0.00005949401,0.004231662],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004856347,"threshold_uncertainty_score":0.001624584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02553043316610494,"score_gpt":0.2630839684484129,"score_spread":0.2375535352823079,"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."}}