{"id":"W4251730494","doi":"10.1515/iupac.88.1468","title":"Uterus","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; Data mining; Philosophy","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":[0.001197346,0.001081745,0.001104552,0.002872122,0.0007675707,0.002536631,0.001885126,0.001393443,0.1869202],"category_scores_gemma":[0.01104221,0.0005334871,0.001477683,0.004481783,0.0003519422,0.002231016,0.002137917,0.001354257,0.1611759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001351734,"about_ca_system_score_gemma":0.002670339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01526236,"about_ca_topic_score_gemma":0.02596066,"domain_scores_codex":[0.9984159,0.0002772309,0.0003318266,0.0004840914,0.0003302059,0.0001607729],"domain_scores_gemma":[0.9961414,0.001122587,0.0004967674,0.0008513312,0.001173397,0.0002146023],"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":[0.0001338652,0.00001505941,0.001744246,0.001585984,0.00003967161,0.00003773053,0.00003748968,0.0001339585,0.00012942,0.001261787,0.981265,0.01361588],"study_design_scores_gemma":[0.00008800012,0.00001299513,0.003624571,0.0008585808,0.00002891314,0.00009080558,0.00007916911,0.00009456695,0.0001684742,0.001297724,0.993638,0.00001826357],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001944719,0.0003054027,0.0001750433,0.00021263,0.00008533167,0.00004414596,0.9944161,0.0002762546,0.004290523],"genre_scores_gemma":[0.0007770196,0.0004052239,0.0005323944,0.0003976566,0.0000292377,0.0001647902,0.9939935,0.00008937024,0.003610793],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1869202,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01240172678123955,"score_gpt":0.464171325748155,"score_spread":0.4517695989669155,"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."}}