{"id":"W4251342442","doi":"10.1515/iupac.88.1035","title":"Menstruation","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; 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":[0.0007996705,0.001132056,0.00120976,0.0036258,0.0005593096,0.001849564,0.001518818,0.001233671,0.07777131],"category_scores_gemma":[0.01018043,0.0004682401,0.001506887,0.005323533,0.0002802409,0.001372326,0.001651449,0.001213033,0.05648326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009869265,"about_ca_system_score_gemma":0.001989202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01559432,"about_ca_topic_score_gemma":0.02818857,"domain_scores_codex":[0.9989383,0.0001826049,0.0003373465,0.0002623006,0.000168733,0.0001107791],"domain_scores_gemma":[0.9962248,0.001305296,0.0007635467,0.0006388704,0.0008642181,0.0002033818],"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":[0.0002630726,0.00001898365,0.004702699,0.005039436,0.00009101407,0.00006785087,0.00006327925,0.0002082558,0.0001464649,0.000892452,0.9726338,0.01587262],"study_design_scores_gemma":[0.0002092201,0.00002277577,0.01596622,0.003012517,0.00008244846,0.000226299,0.0001191273,0.0001662337,0.0001849051,0.001156944,0.9788152,0.00003815083],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002341769,0.0004433416,0.00008434382,0.0001011527,0.00005693061,0.00003009052,0.997349,0.0001203661,0.001580687],"genre_scores_gemma":[0.001253911,0.0007197178,0.0004608122,0.0002298595,0.00003507211,0.000184843,0.9955089,0.0000505569,0.001556367],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07777131,"threshold_uncertainty_score":0.2601709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03237157096994728,"score_gpt":0.5078567499759775,"score_spread":0.4754851790060303,"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."}}