{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002492047,0.0001562388,0.0002299287,0.000065662,0.0002535785,0.00001621017,0.0002182645,0.0001501798,0.00007860866],"category_scores_gemma":[0.0001109335,0.0001071327,0.00001590873,0.00003096116,0.0006535674,0.00008026401,0.0001047537,0.0002511261,0.000004763737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006069536,"about_ca_system_score_gemma":0.000009040412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003442917,"about_ca_topic_score_gemma":7.029191e-7,"domain_scores_codex":[0.9991837,0.0000262847,0.0001512142,0.0002320564,0.000134761,0.0002720468],"domain_scores_gemma":[0.9994654,0.00002912103,0.00003310586,0.000321963,0.00001984381,0.000130552],"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":[0.0000449947,0.00001650069,0.00007650863,0.00002665736,0.00002124117,0.00001387996,0.000540023,0.00002111146,0.9785221,0.0009924942,0.0003322861,0.01939223],"study_design_scores_gemma":[0.0003758325,0.0007006184,0.00002034272,0.0001552463,0.000006522951,0.00002917813,0.0001458488,0.006631679,0.9853148,0.0006456054,0.00583964,0.0001347109],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9851908,0.002289881,0.0006348806,0.0007064851,0.0004925085,0.0003567599,0.000009095144,0.0002225886,0.01009698],"genre_scores_gemma":[0.9983202,0.000176225,0.001017052,0.00007869911,0.0002559721,0.00001955123,0.000008720264,0.0000173061,0.0001063002],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01925752,"threshold_uncertainty_score":0.4368746,"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."}}