{"id":"W4240833416","doi":"10.1515/iupac.88.1162","title":"Ovarian Follicle","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":[0.0007291273,0.0009068798,0.001080742,0.002730445,0.0006994788,0.001980991,0.001374689,0.0009974327,0.08974136],"category_scores_gemma":[0.005902115,0.0004421358,0.001595707,0.003462395,0.0002659898,0.001356279,0.001574252,0.001134678,0.06119829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009899031,"about_ca_system_score_gemma":0.001823534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01367377,"about_ca_topic_score_gemma":0.02529425,"domain_scores_codex":[0.9991612,0.0001041231,0.0001906577,0.0002661189,0.0001724118,0.000105383],"domain_scores_gemma":[0.9979013,0.0006132455,0.0003358044,0.0004797821,0.0005529488,0.0001169539],"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":[0.000373355,0.00002705627,0.007403969,0.003762061,0.0001034271,0.0001007947,0.00006158363,0.0004074881,0.000383152,0.001293067,0.9466345,0.03944957],"study_design_scores_gemma":[0.0001512408,0.00002333201,0.01250076,0.001120489,0.00007128825,0.0002449824,0.00008242032,0.0001953753,0.0003056778,0.001487285,0.9837911,0.00002597765],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007005901,0.001097512,0.0003416612,0.0001888219,0.0001355543,0.00008058097,0.9913077,0.0003806586,0.005766991],"genre_scores_gemma":[0.00314483,0.001186148,0.001375322,0.000390477,0.00005745171,0.0002651961,0.9888633,0.0001236516,0.004593589],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08974136,"threshold_uncertainty_score":0.3002147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01216265175070834,"score_gpt":0.4515154485733237,"score_spread":0.4393527968226154,"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."}}