{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004319893,0.0003892985,0.0004886372,0.00003770149,0.0003228051,0.0001381475,0.001015485,0.0002385632,0.01054112],"category_scores_gemma":[0.0007629537,0.0003080557,0.0001971028,0.00007134755,0.0003021282,0.0001253524,0.0006857007,0.0005184222,0.0000665314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002962513,"about_ca_system_score_gemma":0.00007198151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00232134,"about_ca_topic_score_gemma":0.001569876,"domain_scores_codex":[0.9976079,0.00004536604,0.0003063222,0.000600572,0.0009323301,0.0005075166],"domain_scores_gemma":[0.9979928,0.00007406515,0.0003080429,0.001372578,0.00003025974,0.0002223021],"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":[0.00003110843,0.0001719028,0.0001518875,0.00003885814,0.0000315404,0.0001221171,0.000005134109,0.000009624689,0.00009725494,9.629554e-7,0.9967397,0.002599938],"study_design_scores_gemma":[0.0005342306,0.00009444911,0.0004448631,0.0001063612,0.00008005499,0.00001716449,0.000004530181,0.00001381686,0.0001101375,0.0001249181,0.9980611,0.0004083555],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002243521,0.0001307682,0.000007055156,0.0004284348,0.0004381344,0.0002333583,0.9955904,0.00005405027,0.0008742816],"genre_scores_gemma":[0.0002477758,0.0002230381,0.0001631116,0.0002362348,0.0004866954,0.00001113409,0.9974987,0.00003380715,0.001099531],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01047459,"threshold_uncertainty_score":0.9999372,"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."}}