{"id":"W4238836821","doi":"10.1515/iupac.79.1619","title":"Microarray","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Gene expression and cancer classification","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; Toxicology; Library science; Data science; Chemistry; Biology; Philosophy; Linguistics","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":[0.001516925,0.002838193,0.002672867,0.002994498,0.001433159,0.003478386,0.004792328,0.002500192,0.0915151],"category_scores_gemma":[0.005319341,0.0009469516,0.002657828,0.004815094,0.0004536557,0.001915968,0.002195063,0.002306301,0.1663862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001511295,"about_ca_system_score_gemma":0.002479693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01198646,"about_ca_topic_score_gemma":0.02766552,"domain_scores_codex":[0.9979382,0.0002944676,0.0002243988,0.0008116341,0.0004872468,0.0002439558],"domain_scores_gemma":[0.9983882,0.0003625348,0.0001473146,0.0005660168,0.0004035689,0.0001323383],"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":[0.0002668939,0.00005291466,0.00161092,0.001551799,0.0001203225,0.00006037572,0.00003385757,0.0009270632,0.001023618,0.0009298976,0.981774,0.01164837],"study_design_scores_gemma":[0.0002580534,0.00004820771,0.003932149,0.0002607385,0.0001093256,0.0001716081,0.0000602893,0.001021188,0.001243759,0.003017367,0.9898254,0.00005191269],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002913847,0.0002700337,0.0004978802,0.0001057498,0.00006428045,0.00003344852,0.9954548,0.001483512,0.001798869],"genre_scores_gemma":[0.000377566,0.0001135496,0.0008578742,0.0001014262,0.000009296714,0.0001051942,0.9974135,0.0001046858,0.0009170362],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0915151,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0112135052838251,"score_gpt":0.3812798266714835,"score_spread":0.3700663213876584,"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."}}