{"id":"W4247469595","doi":"10.1515/iupac.88.0944","title":"Infundibulum","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":[0.003675052,0.001363972,0.001938616,0.007758381,0.001275271,0.005317648,0.002850708,0.002024614,0.2806468],"category_scores_gemma":[0.03382538,0.000756418,0.001937454,0.01174834,0.0007089532,0.003844651,0.003908382,0.002261691,0.2774846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002259353,"about_ca_system_score_gemma":0.005023604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01319497,"about_ca_topic_score_gemma":0.01937445,"domain_scores_codex":[0.9952698,0.001108068,0.001030369,0.001111117,0.00105209,0.0004284665],"domain_scores_gemma":[0.9864663,0.004671251,0.001508836,0.002492988,0.004071508,0.0007889554],"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":[0.00004696128,0.000006685645,0.0003511754,0.0009542702,0.0000173361,0.00001237838,0.00001837719,0.00004396639,0.00004184829,0.0006474001,0.9921134,0.005746364],"study_design_scores_gemma":[0.00006289312,0.000007766771,0.0009574018,0.0008718194,0.00001690898,0.00003071771,0.0000397839,0.0000699563,0.00007033726,0.0007743115,0.9970855,0.00001252733],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001034853,0.0004319268,0.0001967627,0.0005385528,0.0002866123,0.00007650633,0.9933295,0.0004617886,0.004574763],"genre_scores_gemma":[0.0004437953,0.0004437517,0.0006396383,0.0007999155,0.0001120296,0.0004634566,0.9923476,0.0002969473,0.004452835],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2806468,"threshold_uncertainty_score":0.938857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01193957848365923,"score_gpt":0.4582513738683937,"score_spread":0.4463117953847344,"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."}}