{"id":"W4249030295","doi":"10.1515/iupac.88.1034","title":"Menstrual Cycle","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Menstrual Health and Disorders","field":"Medicine","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":[0.0006808651,0.001042172,0.001182955,0.003383311,0.0005407201,0.001544131,0.001309392,0.0008967817,0.0732538],"category_scores_gemma":[0.00959985,0.0004178171,0.001218722,0.005686174,0.0002330774,0.001206383,0.001317605,0.001166554,0.05589063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009436138,"about_ca_system_score_gemma":0.001683981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02125472,"about_ca_topic_score_gemma":0.03019946,"domain_scores_codex":[0.9990847,0.0001551489,0.000267745,0.0002441981,0.0001536319,0.0000945594],"domain_scores_gemma":[0.996685,0.00106936,0.0006004625,0.0005368566,0.0009383149,0.0001700882],"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":[0.0002228362,0.00001889792,0.005382405,0.002808302,0.0000808776,0.00004721811,0.0000562254,0.0001963944,0.000101547,0.0007349943,0.9758429,0.0145074],"study_design_scores_gemma":[0.0001955205,0.00002306904,0.02333389,0.002136602,0.00007109554,0.0002061668,0.0001280487,0.0001892312,0.0001430802,0.001014518,0.9725175,0.0000412487],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002708093,0.0003100387,0.00008077554,0.00008181605,0.00004694426,0.00002925024,0.9974763,0.00009906703,0.001605031],"genre_scores_gemma":[0.00163802,0.0006895463,0.0004508341,0.000195359,0.00003628721,0.0002082431,0.9949712,0.00005186563,0.001758606],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0732538,"threshold_uncertainty_score":0.2450584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02433727507085098,"score_gpt":0.491420124567033,"score_spread":0.4670828494961821,"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."}}