{"id":"W4392590210","doi":"10.1016/j.bprint.2024.e00337","title":"3D bioprinting of human iPSC-Derived kidney organoids using a low-cost, high-throughput customizable 3D bioprinting system","year":2024,"lang":"en","type":"article","venue":"Bioprinting","topic":"Renal and related cancers","field":"Biochemistry, Genetics and Molecular Biology","cited_by":29,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates; Canada Foundation for Innovation","keywords":"Organoid; Induced pluripotent stem cell; Nephron; 3D bioprinting; Cell biology; Kidney; Tissue engineering; Biology; Computational biology; Computer science; Embryonic stem cell; Biomedical engineering; Medicine; Biochemistry","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006858069,0.0004804616,0.0005302665,0.0002523308,0.0003968212,0.0001909246,0.0004563703,0.0005107335,0.0000498695],"category_scores_gemma":[0.0001293529,0.0004461227,0.0003022675,0.0006205169,0.0001799711,0.00002786277,0.0006311983,0.0004323747,0.00005057573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001732984,"about_ca_system_score_gemma":0.0002921367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008738239,"about_ca_topic_score_gemma":0.000007184605,"domain_scores_codex":[0.9968148,0.00009787206,0.0009330953,0.001028612,0.000329428,0.000796192],"domain_scores_gemma":[0.9985142,0.00002281841,0.0003939923,0.0006273223,0.0002130048,0.0002286335],"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":[0.00002523354,0.00003808601,0.001874413,0.001359662,0.0002828711,0.00003563897,0.0001521146,0.0009334379,0.9906398,0.0004782347,0.00006951246,0.004110979],"study_design_scores_gemma":[0.0006839623,0.00006254496,0.0002854604,0.002520638,0.000148782,0.0001030971,0.0004459228,0.009030586,0.9828877,0.00001312106,0.003189279,0.000628879],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897315,0.0009323728,0.005018605,0.00006069366,0.001091642,0.0004182117,0.00001990426,0.0002234993,0.002503564],"genre_scores_gemma":[0.9923924,0.00009462072,0.00591486,0.00006501867,0.0008791411,0.00002233667,0.00005491,0.0001288474,0.0004478789],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008097149,"threshold_uncertainty_score":0.9997991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01071522136266464,"score_gpt":0.2537838746267929,"score_spread":0.2430686532641283,"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."}}