{"id":"W3026272155","doi":"10.1093/nar/gkaa390","title":"ToxicoDB: an integrated database to mine and visualize large-scale toxicogenomic datasets","year":2020,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Computational Drug Discovery Methods","field":"Computer Science","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vector Institute; Ontario Institute for Cancer Research; University of Toronto; Princess Margaret Cancer Centre; University Health Network","funders":"","keywords":"Profiling (computer programming); Biology; Toxicogenomics; Transcriptome; Computational biology; Gene expression profiling; Computer science; Bioinformatics; Data science; Gene; Gene expression; Genetics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.003478986,0.002578101,0.002525763,0.007244568,0.001164252,0.004145523,0.00353699,0.002083496,0.01020422],"category_scores_gemma":[0.007150588,0.001438914,0.002498443,0.006359417,0.0006930389,0.0028324,0.005573761,0.002322696,0.006914102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001296819,"about_ca_system_score_gemma":0.003791304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005111008,"about_ca_topic_score_gemma":0.007287932,"domain_scores_codex":[0.9982125,0.0002758196,0.0003278801,0.0005361811,0.0005215606,0.0001262164],"domain_scores_gemma":[0.9969062,0.0009335857,0.0005311505,0.0007533166,0.000447258,0.0004285152],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004214796,0.0007722916,0.02879732,0.01483583,0.003602296,0.00296104,0.001166017,0.03845671,0.06541871,0.0336392,0.6358772,0.1702587],"study_design_scores_gemma":[0.001222465,0.0003807128,0.01882461,0.001227949,0.0008953064,0.002065506,0.0005443872,0.07332225,0.03937478,0.06843126,0.7932191,0.0004916455],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.012813,0.003846467,0.1899308,0.001200624,0.0003231876,0.0006968672,0.6524676,0.1310923,0.007629151],"genre_scores_gemma":[0.03516305,0.003144392,0.162326,0.0009091297,0.00007941932,0.00148572,0.7869518,0.008044167,0.001896239],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.01020422,"threshold_uncertainty_score":0.03413653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09947937174278042,"score_gpt":0.419470092762992,"score_spread":0.3199907210202116,"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."}}