{"id":"W4243357859","doi":"10.1515/iupac.88.0795","title":"Fertility, Female","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; Human reproduction; Relation (database); Computer science; Biology; Linguistics; Genetics; 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":[0.0008244877,0.0009244019,0.001017511,0.0028985,0.0005949892,0.001753984,0.001309803,0.0008674675,0.09542511],"category_scores_gemma":[0.009843315,0.0003854021,0.001379719,0.004608673,0.0003897361,0.002168097,0.001336783,0.001406611,0.03771371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009374853,"about_ca_system_score_gemma":0.001543216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02201659,"about_ca_topic_score_gemma":0.02976631,"domain_scores_codex":[0.9987858,0.000178898,0.0003314601,0.0003641341,0.0002178683,0.0001218025],"domain_scores_gemma":[0.9975465,0.0008004208,0.0005945013,0.000388556,0.000552937,0.0001171308],"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":[0.0001974082,0.00002237661,0.00902081,0.003967811,0.0001131103,0.00005382407,0.00007964815,0.0001853916,0.0000947641,0.001237693,0.9641814,0.02084573],"study_design_scores_gemma":[0.0002209404,0.00003217947,0.03120136,0.002382617,0.0000956705,0.0002751586,0.0002107912,0.0001196406,0.0001188103,0.001739477,0.9635681,0.00003528814],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004407322,0.0009583032,0.0001112806,0.0002201489,0.0001174229,0.00004343804,0.9946246,0.00009362237,0.003390458],"genre_scores_gemma":[0.004202717,0.002268322,0.0006551141,0.0008170934,0.000121801,0.0003888616,0.9871598,0.00009418178,0.004292034],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09542511,"threshold_uncertainty_score":0.3192288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0168882957924395,"score_gpt":0.4652569357041282,"score_spread":0.4483686399116887,"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."}}