{"id":"W4236308613","doi":"10.1515/iupac.88.0533","title":"Bicornate 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":[0.0006175422,0.000884799,0.001048117,0.002475146,0.0006328838,0.001311393,0.001295593,0.0008702978,0.09190561],"category_scores_gemma":[0.006078628,0.0004172692,0.00112472,0.003378855,0.0003177665,0.0009349421,0.001466549,0.0009993465,0.0513374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008063272,"about_ca_system_score_gemma":0.001614354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01662817,"about_ca_topic_score_gemma":0.02966465,"domain_scores_codex":[0.9992787,0.0001156264,0.0001572059,0.0002293531,0.000142724,0.00007632869],"domain_scores_gemma":[0.9979856,0.0006785508,0.0003661444,0.0004706138,0.0004018504,0.00009720134],"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":[0.0004217855,0.00002769849,0.007627787,0.003213612,0.0001169037,0.0001726663,0.00005501594,0.000284649,0.0002812179,0.001074801,0.9572113,0.02951268],"study_design_scores_gemma":[0.0002134556,0.0000314097,0.02313338,0.002155416,0.00009054525,0.0007696717,0.0001449185,0.0001915533,0.0003521113,0.00175193,0.971133,0.00003270406],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006425512,0.0007356257,0.0002178803,0.000112403,0.00005536713,0.00004824806,0.9945084,0.0001681096,0.003511347],"genre_scores_gemma":[0.002922629,0.001076525,0.0007857463,0.0003627814,0.00003143373,0.0002610915,0.9911305,0.00006825211,0.003361134],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09190561,"threshold_uncertainty_score":0.3074549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01267671949557218,"score_gpt":0.4596320099581814,"score_spread":0.4469552904626092,"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."}}