{"id":"W2622957763","doi":"10.1177/1535370217715028","title":"Uniform neural tissue models produced on synthetic hydrogels using standard culture techniques","year":2017,"lang":"en","type":"article","venue":"Experimental Biology and Medicine","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; National Heart, Lung, and Blood Institute; Canadian Institutes of Health Research; U.S. Department of Health and Human Services; National Institutes of Health; Environmental Protection Agency","keywords":"Self-healing hydrogels; Induced pluripotent stem cell; Embryonic stem cell; Organoid; Neural stem cell; Cell biology; Biology; Ethylene glycol; Chemistry; Stem cell; Biomedical engineering; Biophysics; Biochemistry; Medicine; Gene","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014713,0.0007221648,0.0003119257,0.0004262475,0.0002755175,0.0005040788,0.0004910352,0.0004316284,0.0007160645],"category_scores_gemma":[0.001505994,0.0003281056,0.0004523846,0.0003067954,0.0003068589,0.0004591743,0.0005369628,0.0004199931,0.0002489084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003001599,"about_ca_system_score_gemma":0.0002107474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004585189,"about_ca_topic_score_gemma":0.001162603,"domain_scores_codex":[0.9988726,0.0001793335,0.0002024275,0.0002785851,0.0004011139,0.00006584845],"domain_scores_gemma":[0.997729,0.000773016,0.0006618126,0.0005032544,0.0002722048,0.00006076114],"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":[0.00003144407,0.00003228595,0.000449367,0.00009088792,0.00001885665,0.00004525749,0.00004125613,0.0008978772,0.9959741,0.00005480487,0.00002798086,0.002335836],"study_design_scores_gemma":[0.000004145602,0.0002122325,0.00165652,0.000009474348,0.00002942408,0.0001026944,0.00001962009,0.002220748,0.9947292,0.00003218414,0.0009740247,0.000009699896],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.838521,0.002455217,0.1542655,0.000104321,0.0000981259,0.0005639759,0.001153703,0.0005969269,0.002241161],"genre_scores_gemma":[0.8602701,0.00140709,0.1345116,0.0000877448,0.00002875687,0.0008083681,0.001272617,0.0002137938,0.001399895],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0014713,"threshold_uncertainty_score":0.007781029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04458362685441559,"score_gpt":0.3872564164484936,"score_spread":0.342672789594078,"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."}}