{"id":"W4252615423","doi":"10.1515/iupac.79.1108","title":"Cytokine","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Effects and risks of endocrine disrupting chemicals","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Computer science; Toxicology; Library science; Chemistry; Biology; Philosophy; Linguistics; Organic chemistry","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":[0.001410842,0.00170502,0.001353444,0.002950944,0.0008740238,0.003178036,0.002621773,0.001756505,0.1504183],"category_scores_gemma":[0.01133701,0.0005114317,0.001845392,0.005061048,0.0003201789,0.002166418,0.001837449,0.001601355,0.1901501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001456494,"about_ca_system_score_gemma":0.002815978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01475782,"about_ca_topic_score_gemma":0.02974859,"domain_scores_codex":[0.9977906,0.0003791169,0.0003502526,0.0008087144,0.0004393928,0.0002319419],"domain_scores_gemma":[0.9961517,0.0009454892,0.0003736242,0.001022119,0.001218397,0.000288627],"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":[0.0001491925,0.0000273958,0.00185764,0.0008612389,0.00004998683,0.00002227475,0.00002059771,0.0002151284,0.00008310272,0.0006916419,0.9877922,0.008229567],"study_design_scores_gemma":[0.0001980025,0.00002530202,0.003666943,0.0004614825,0.00004787432,0.00007630038,0.00007275914,0.0002893481,0.0002071103,0.00166103,0.9932695,0.00002436266],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001583468,0.0001415762,0.0001183511,0.0001141271,0.00004728702,0.00002984264,0.9970524,0.0003106826,0.002027393],"genre_scores_gemma":[0.0004369797,0.0001036185,0.0003665053,0.0001493884,0.00001348831,0.0001194329,0.9972469,0.0000622112,0.001501592],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1504183,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009071415298754569,"score_gpt":0.4195467221851258,"score_spread":0.4104753068863713,"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."}}