{"id":"W4231802423","doi":"10.1515/iupac.88.1136","title":"Oligomenomenorrhea","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":[],"consensus_categories":[],"category_scores_codex":[0.000780685,0.0007682007,0.001205304,0.002933168,0.0005766826,0.001237975,0.0009243988,0.0008075886,0.05371824],"category_scores_gemma":[0.008169873,0.0003494979,0.001693357,0.005033894,0.0002778791,0.001048835,0.001236959,0.001148047,0.01642036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008824941,"about_ca_system_score_gemma":0.001899896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01643644,"about_ca_topic_score_gemma":0.02957856,"domain_scores_codex":[0.9987295,0.0001874578,0.000464445,0.0003144529,0.0001710477,0.0001330559],"domain_scores_gemma":[0.9969325,0.000927097,0.0009232439,0.000553015,0.0005017361,0.0001623351],"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":[0.0009314583,0.00004902088,0.02357176,0.01111376,0.0004457559,0.0003237742,0.0001167285,0.0003224665,0.0003050848,0.001501756,0.9140882,0.04723025],"study_design_scores_gemma":[0.000571117,0.00006894589,0.06888273,0.01040151,0.0003732693,0.001318691,0.0003222501,0.0002540422,0.0003617514,0.002709194,0.9146593,0.00007728646],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001215759,0.001900518,0.0002511766,0.0001730342,0.0001063546,0.0001313046,0.9921255,0.0001075148,0.003988849],"genre_scores_gemma":[0.007463517,0.003541553,0.0008783071,0.0006596709,0.00009287066,0.0007313906,0.983197,0.00008140167,0.003354308],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05371824,"threshold_uncertainty_score":0.1797054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01215634054800935,"score_gpt":0.4524647297214274,"score_spread":0.4403083891734181,"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."}}