{"id":"W4245712998","doi":"10.1515/iupac.88.1416","title":"Thoracic Duct","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; Relation (database); Computer science; Linguistics; 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":[0.000729674,0.001024554,0.001174639,0.003142851,0.0006835486,0.003179006,0.001589843,0.00128528,0.2554556],"category_scores_gemma":[0.007789073,0.0004530758,0.001227517,0.004865376,0.0003172074,0.002267541,0.002063186,0.001534238,0.2734493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000998851,"about_ca_system_score_gemma":0.002119948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0107095,"about_ca_topic_score_gemma":0.01438972,"domain_scores_codex":[0.9989343,0.0001593928,0.000232432,0.0003547023,0.0001875837,0.0001315493],"domain_scores_gemma":[0.997072,0.0007628061,0.0004546779,0.0007007744,0.0007828905,0.000226819],"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":[0.000173695,0.00001374231,0.00264839,0.001438811,0.00004570843,0.00006624963,0.0000320764,0.0001459585,0.0001121482,0.001112258,0.9728608,0.02135007],"study_design_scores_gemma":[0.00007463119,0.00001309839,0.004759554,0.0009476171,0.00003018322,0.0001986549,0.00007234642,0.0001213655,0.0001507294,0.001474311,0.9921392,0.0000182909],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003427902,0.0005928599,0.0002389537,0.0002469186,0.0001388013,0.00004174074,0.9876394,0.0005680409,0.01019042],"genre_scores_gemma":[0.001495938,0.000733659,0.0005651362,0.0004163632,0.00007624479,0.0001249496,0.9892609,0.00017971,0.007147101],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2554556,"threshold_uncertainty_score":0.8545843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01532411733359157,"score_gpt":0.4891272379069184,"score_spread":0.4738031205733269,"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."}}