{"id":"W4254735107","doi":"10.1515/iupac.79.2163","title":"Transcriptome","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Carcinogens and Genotoxicity Assessment","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Computer science; Hazard; Multidisciplinary approach; Toxicology; Data science; Library science; Chemistry; Biology; Philosophy; Sociology; Linguistics; Social science","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":[0.001332371,0.002077169,0.00140398,0.002913669,0.0009894375,0.003104814,0.002968491,0.001744577,0.1377251],"category_scores_gemma":[0.008219464,0.0005908408,0.001970091,0.004598299,0.0003783449,0.002217847,0.002152604,0.001616693,0.2020543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001371679,"about_ca_system_score_gemma":0.002598973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01484749,"about_ca_topic_score_gemma":0.03227198,"domain_scores_codex":[0.9981572,0.0003167403,0.0002573855,0.0007223182,0.0003445644,0.0002017079],"domain_scores_gemma":[0.9973863,0.000635292,0.0002135264,0.0007863411,0.0007810057,0.0001975403],"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":[0.0001577119,0.00002633392,0.001513348,0.001004252,0.00005532098,0.00003075974,0.00002785579,0.0003073682,0.0001424011,0.0007970526,0.9875274,0.008410219],"study_design_scores_gemma":[0.000151788,0.00002222634,0.002653464,0.0003616854,0.00004378344,0.0000734739,0.00006631707,0.000345219,0.0002810637,0.001800445,0.9941759,0.00002454083],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000150034,0.0001216903,0.000162913,0.00008452813,0.00003986252,0.00002424225,0.997116,0.0006240482,0.001676592],"genre_scores_gemma":[0.0002974897,0.00007229778,0.0003905036,0.00009514464,0.000007011309,0.00007772503,0.9979256,0.00008462817,0.001049501],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1377251,"threshold_uncertainty_score":0.4607362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01066119890493902,"score_gpt":0.3787816618672865,"score_spread":0.3681204629623475,"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."}}