{"id":"W4414281204","doi":"10.1016/j.crmeth.2025.101177","title":"High-throughput bioprinting to produce micropatterned neuroepithelial tissues and model TSC2-deficient brain malformations","year":2025,"lang":"en","type":"article","venue":"Cell Reports Methods","topic":"Renal and related cancers","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Canada Research Chairs; Michael Smith Health Research BC; Cancer Research Society","keywords":"Neuroepithelial cell; Neural tube; Extracellular matrix; Induced pluripotent stem cell; Micropatterning; Neurulation; 3D bioprinting; Human brain; Embryonic stem cell; Process (computing)","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":[0.0001756884,0.0002200694,0.00009492747,0.0002172793,0.00009795778,0.0001614825,0.0001332151,0.0001917057,0.0003744921],"category_scores_gemma":[0.00009586526,0.00009315303,0.0001503872,0.00009516957,0.000137378,0.0001155095,0.0001493685,0.0002238372,0.0001190243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001799739,"about_ca_system_score_gemma":0.0001284868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003827912,"about_ca_topic_score_gemma":0.001405694,"domain_scores_codex":[0.9999182,0.0000109381,0.000007759565,0.0000144119,0.00003821567,0.0000103645],"domain_scores_gemma":[0.9999195,0.000021818,0.00002647098,0.00001008355,0.000008802484,0.00001327399],"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":[0.000008904366,0.000007292713,0.00008895916,0.00001475106,0.000002522776,0.00003420124,0.000008721678,0.0004507451,0.9983652,0.0001249678,0.00002321251,0.0008705051],"study_design_scores_gemma":[0.000001739699,0.00004660845,0.0005165621,0.000002265147,0.000002880603,0.00006544709,0.000005408977,0.00233805,0.9962405,0.00002468204,0.0007537428,0.000002076586],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9460211,0.001002795,0.04913864,0.0000834122,0.00004233264,0.000126334,0.0003804488,0.0002903564,0.002914654],"genre_scores_gemma":[0.9620442,0.0006501218,0.03432574,0.00002599351,0.000005509955,0.0001038166,0.0003107128,0.00004154231,0.002492345],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.0003827912,"threshold_uncertainty_score":0.001305819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00837532306283058,"score_gpt":0.3150502252301194,"score_spread":0.3066749021672889,"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."}}