{"id":"W4246161508","doi":"10.1515/iupac.88.1021","title":"Medulla","year":2017,"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":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Terminology; Chemical nomenclature; Relation (database); Computer science; Linguistics; Chemistry; Philosophy; Data mining","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":[0.001819959,0.00136935,0.001234721,0.003563715,0.001056712,0.003887332,0.002416327,0.001661824,0.2308343],"category_scores_gemma":[0.01456475,0.0005953886,0.001759714,0.005482503,0.0004310686,0.003290048,0.002541835,0.001681634,0.2362298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0017487,"about_ca_system_score_gemma":0.003266067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01464857,"about_ca_topic_score_gemma":0.02737015,"domain_scores_codex":[0.9973514,0.0004605904,0.0004790706,0.0009051636,0.000530211,0.0002735093],"domain_scores_gemma":[0.9940978,0.001584193,0.0005100491,0.001498789,0.001986628,0.0003225389],"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":[0.0000980062,0.00001361961,0.00122982,0.001033637,0.00002931009,0.00002146492,0.00003315145,0.0001174259,0.00009304304,0.001168813,0.9861065,0.01005509],"study_design_scores_gemma":[0.00007520875,0.00001142809,0.002146261,0.0005149958,0.00002049926,0.00004439818,0.00007702415,0.0001238429,0.0001524904,0.001506857,0.9953097,0.00001732185],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001714457,0.0002048105,0.0002383318,0.0002540821,0.0001157029,0.00005957483,0.9933275,0.0005457005,0.005082829],"genre_scores_gemma":[0.0006275808,0.0002153848,0.000707782,0.0003911562,0.00003489985,0.0002403143,0.9935418,0.0001717849,0.004069164],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2308343,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0118710493435622,"score_gpt":0.4627431807455463,"score_spread":0.4508721314019841,"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."}}