{"id":"W4255497915","doi":"10.1515/iupac.88.0411","title":"Adrenal Gland","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; Linguistics; 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":[0.000686577,0.001108745,0.001092904,0.002647043,0.0005286676,0.001970588,0.001338408,0.0009831665,0.09737582],"category_scores_gemma":[0.006207916,0.0004215522,0.001393037,0.003965902,0.0002746686,0.001550499,0.001452153,0.001212411,0.07516149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008343378,"about_ca_system_score_gemma":0.001602344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01559222,"about_ca_topic_score_gemma":0.02665541,"domain_scores_codex":[0.9990927,0.000129415,0.000207171,0.0002988761,0.0001755108,0.0000963228],"domain_scores_gemma":[0.9977508,0.0006525664,0.0003877956,0.0005021602,0.0005744687,0.0001322392],"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":[0.0004056556,0.00002667716,0.007729477,0.00390263,0.0001503404,0.0001347643,0.00005035284,0.0003790224,0.0003740088,0.001190512,0.946607,0.03904957],"study_design_scores_gemma":[0.0001497279,0.00002281365,0.01674851,0.00128791,0.00009397364,0.0004072813,0.00007797706,0.0001732204,0.0002754229,0.001766805,0.9789624,0.00003405191],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004876303,0.00121986,0.0002835626,0.0001841245,0.00009825535,0.0000382107,0.9926996,0.0003037477,0.004685081],"genre_scores_gemma":[0.002949204,0.001448124,0.0009602014,0.0004189137,0.00006039123,0.0001581269,0.990651,0.00008723823,0.003266829],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09737582,"threshold_uncertainty_score":0.3257545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01116138406312601,"score_gpt":0.448369691219855,"score_spread":0.437208307156729,"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."}}