{"id":"W4240662415","doi":"10.1515/iupac.88.1145","title":"Oocyte, Primary","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; Primary (astronomy); 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":[0.001429575,0.00144889,0.001601118,0.004821235,0.001150581,0.00513027,0.002360393,0.001708967,0.2310346],"category_scores_gemma":[0.02093198,0.0006637359,0.00164631,0.009686482,0.0005660373,0.004449981,0.002773315,0.001999847,0.1940364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001790659,"about_ca_system_score_gemma":0.004226971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01658919,"about_ca_topic_score_gemma":0.0238812,"domain_scores_codex":[0.9976991,0.0003538857,0.0005442798,0.0006649928,0.0004663221,0.0002714169],"domain_scores_gemma":[0.9929436,0.002401702,0.0009891817,0.001430256,0.001838857,0.0003963888],"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":[0.0001173376,0.000009723368,0.0008724017,0.0030712,0.00003324011,0.0000266669,0.00003485019,0.00009640181,0.0001060173,0.001179084,0.9876929,0.006760249],"study_design_scores_gemma":[0.00008931315,0.000009994965,0.001817732,0.0009544218,0.00002301302,0.00006184983,0.00005980941,0.00004576554,0.00009082835,0.001462306,0.9953688,0.00001614631],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007618901,0.0003380317,0.0001012834,0.0001497717,0.00007330794,0.00003246155,0.9960918,0.0002118761,0.002925207],"genre_scores_gemma":[0.0005601763,0.000538593,0.000473415,0.0003621338,0.00003622557,0.0001974113,0.9953844,0.0001763764,0.002271244],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2310346,"threshold_uncertainty_score":0.7728878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01092366905337173,"score_gpt":0.4434493997942133,"score_spread":0.4325257307408416,"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."}}