{"id":"W4244552311","doi":"10.1515/iupac.88.1309","title":"Scrotum","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001553282,0.001150652,0.001412157,0.005143791,0.000908047,0.003406186,0.002101019,0.001333554,0.2742506],"category_scores_gemma":[0.01541863,0.0006691977,0.001591192,0.008342888,0.0004950048,0.002512976,0.002978946,0.001668213,0.2782623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001635583,"about_ca_system_score_gemma":0.003509773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01486239,"about_ca_topic_score_gemma":0.02748716,"domain_scores_codex":[0.9979264,0.0004195634,0.0004667118,0.0005126878,0.0004578633,0.0002168467],"domain_scores_gemma":[0.9927016,0.002382477,0.0008640497,0.001464809,0.002165816,0.0004211919],"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":[0.00006103888,0.000007790269,0.0004104079,0.00141238,0.00001907261,0.00001853354,0.00002517196,0.00006052155,0.00008646836,0.0006015228,0.9909017,0.006395454],"study_design_scores_gemma":[0.00005260808,0.000007715336,0.001277362,0.0006433339,0.00001206589,0.00003649783,0.00004426299,0.00005522883,0.0001052906,0.0007643058,0.9969893,0.00001206622],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006882221,0.0001567288,0.0001223903,0.0001361583,0.00007136945,0.00003459713,0.9967042,0.0003221133,0.002383734],"genre_scores_gemma":[0.0003596424,0.000276089,0.0006028109,0.0003564765,0.00003235609,0.0002167159,0.9948337,0.0002106274,0.0031116],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7257494,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01208296400922746,"score_gpt":0.4606980946176998,"score_spread":0.4486151306084724,"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."}}