{"id":"W4253233204","doi":"10.1515/iupac.88.0843","title":"Genitalia","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":[0.000826614,0.00114616,0.001044612,0.002981696,0.0007211053,0.002208977,0.001448145,0.001192461,0.1935264],"category_scores_gemma":[0.007919435,0.0004904521,0.001230927,0.004567716,0.0003825761,0.001730874,0.002020697,0.001351801,0.1474147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001036624,"about_ca_system_score_gemma":0.001952558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01297527,"about_ca_topic_score_gemma":0.02083154,"domain_scores_codex":[0.9989169,0.0001929939,0.000240599,0.0003299317,0.0002042249,0.0001155052],"domain_scores_gemma":[0.9972702,0.0009359492,0.0004260254,0.0006176681,0.0006165893,0.0001335717],"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":[0.000138185,0.00001628447,0.002326723,0.002303987,0.00004172567,0.00005635353,0.0000599436,0.0001705749,0.0001812892,0.001427771,0.9739314,0.01934588],"study_design_scores_gemma":[0.00004348989,0.000009490695,0.004326087,0.0007123173,0.00001949382,0.0001191693,0.00007122571,0.00006292244,0.0001126766,0.001034688,0.9934747,0.00001388531],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002521749,0.0004523633,0.0001904024,0.000135824,0.00007663354,0.00003396101,0.9939276,0.0002634616,0.004667623],"genre_scores_gemma":[0.001316126,0.0006918292,0.0007818494,0.000364982,0.00003168577,0.0001781427,0.992524,0.0001203604,0.0039911],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1935264,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01267977874865062,"score_gpt":0.4597649606349831,"score_spread":0.4470851818863325,"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."}}