{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005185989,0.0001535681,0.0004677033,0.0001966724,0.00002620902,0.000005628767,0.0002624597,0.0002872363,0.00005940633],"category_scores_gemma":[0.0007054787,0.0001465719,0.00002526379,0.0004034476,0.0006347125,0.00004206862,0.0001850412,0.0003780929,0.000004983995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001060138,"about_ca_system_score_gemma":0.0000310442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001528992,"about_ca_topic_score_gemma":0.00005176262,"domain_scores_codex":[0.9985864,0.0001022615,0.0005104701,0.0002378042,0.0001846522,0.0003784807],"domain_scores_gemma":[0.9991069,0.0004631196,0.00007512451,0.0002227833,0.00006264618,0.00006937322],"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":[0.00002174632,0.0001671859,0.006963891,0.0003467728,0.00001674117,0.000008236195,0.0003114658,0.00005803301,0.991144,0.00002122118,0.00008100719,0.0008597055],"study_design_scores_gemma":[0.0007473944,0.0001121321,0.02511928,0.0000794649,0.000006532334,0.000001803619,0.00001359809,0.002029444,0.9714155,0.0003368275,0.00002093836,0.0001170788],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988206,0.0002415595,0.0002480012,0.00003796184,0.00009778773,0.0002172858,0.000008084096,0.00004867188,0.0002800224],"genre_scores_gemma":[0.9811474,0.0000172637,0.01866157,0.00004832587,0.0000627526,0.00001323756,0.000006219678,0.00002196743,0.00002123707],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01972849,"threshold_uncertainty_score":0.5977029,"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."}}