{"id":"W4247934873","doi":"10.1515/iupac.88.0744","title":"Endothelium","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":[0.001825205,0.001258121,0.001220845,0.003488821,0.0009986712,0.003788793,0.002188616,0.001704137,0.2112865],"category_scores_gemma":[0.01497509,0.0005624404,0.001735894,0.005733206,0.0003924915,0.003181553,0.002382128,0.001767637,0.2198412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001697579,"about_ca_system_score_gemma":0.00333516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01472346,"about_ca_topic_score_gemma":0.02581542,"domain_scores_codex":[0.9970779,0.0005081957,0.0005769771,0.0009345679,0.0006078207,0.0002945545],"domain_scores_gemma":[0.9938067,0.00159736,0.000619367,0.00154596,0.002092049,0.0003385853],"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":[0.0001098507,0.00001566115,0.001435993,0.001114023,0.0000321777,0.00002314914,0.00003000645,0.000107196,0.00008969417,0.001162077,0.9853348,0.01054551],"study_design_scores_gemma":[0.0000756259,0.00001195469,0.002392794,0.0006259622,0.00002238587,0.00005062232,0.00007178249,0.0001052266,0.0001423674,0.001261416,0.9952223,0.00001758996],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000170976,0.0002261015,0.0002136185,0.0002303201,0.0001095371,0.00005582593,0.9934165,0.0004134097,0.005163744],"genre_scores_gemma":[0.0006144753,0.0002472927,0.000612697,0.0003939205,0.00003340238,0.0002176288,0.9936473,0.0001413738,0.004091879],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2112865,"threshold_uncertainty_score":0.7068238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01169181108867441,"score_gpt":0.452254605507021,"score_spread":0.4405627944183466,"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."}}