{"id":"W2801750864","doi":"10.1016/j.tiv.2018.05.006","title":"High-throughput toxicity testing of chemicals and mixtures in organotypic multi-cellular cultures of primary human hepatic cells","year":2018,"lang":"en","type":"article","venue":"Toxicology in Vitro","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Division of Graduate Education; U.S. Environmental Protection Agency; Institute for Critical Technologies and Applied Science, Virginia Tech; McGill University; Institute for Critical Technology and Applied Science; Virginia Polytechnic Institute and State University; National Science Foundation","keywords":"Toxicant; Toxicity; Chemistry; Hepatocyte; Glutathione; Biochemistry; Pharmacology; Toxicology; Cell biology; Biology; In vitro; Enzyme","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":[0.0006901931,0.0006773872,0.0007610773,0.0005464499,0.0003905031,0.0005406004,0.0004632617,0.0005892203,0.001395201],"category_scores_gemma":[0.000327959,0.0003028293,0.0009280134,0.0006889609,0.0002211906,0.0003188435,0.0004423005,0.0004324492,0.0008353027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002918783,"about_ca_system_score_gemma":0.0003227699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001662902,"about_ca_topic_score_gemma":0.003835046,"domain_scores_codex":[0.9993231,0.000131213,0.00007996619,0.0001260726,0.0002749091,0.00006469859],"domain_scores_gemma":[0.9996334,0.0001597315,0.00004194427,0.0000567959,0.00008628808,0.00002180236],"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":[0.00008705941,0.00007056488,0.0004209748,0.00009179483,0.00001497961,0.00010495,0.00003465138,0.0005782521,0.9960531,0.00002309041,0.00005772155,0.002462971],"study_design_scores_gemma":[0.000002854326,0.0002776729,0.001371236,0.000004220778,0.00003002919,0.00009712938,0.00002404758,0.0007368017,0.996973,0.00001693728,0.0004603359,0.000005721719],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9236355,0.004838709,0.06149463,0.0001630681,0.00008709996,0.0004590535,0.003193536,0.0005671458,0.005561271],"genre_scores_gemma":[0.914659,0.006104918,0.06577817,0.0001690674,0.00003639375,0.0006158655,0.00386391,0.0001023317,0.008670294],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001662902,"threshold_uncertainty_score":0.004667401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02259183749830095,"score_gpt":0.2827363110322155,"score_spread":0.2601444735339145,"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."}}