{"id":"W4247805607","doi":"10.1515/iupac.88.1245","title":"Progestin","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Urticaria and Related Conditions","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001900969,0.0003260882,0.0006314982,0.0001839455,0.0002467104,0.00006495929,0.0002636441,0.000648405,0.003332347],"category_scores_gemma":[0.0008792732,0.0002529701,0.0002162387,0.00008498775,0.0002444104,0.00004484431,0.00009971458,0.001107837,0.00002142078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002083651,"about_ca_system_score_gemma":0.001740871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008170633,"about_ca_topic_score_gemma":0.0001167246,"domain_scores_codex":[0.9980907,0.00002915128,0.000342224,0.0003968914,0.0007920722,0.0003489772],"domain_scores_gemma":[0.9976765,0.00003631488,0.0002271376,0.001303445,0.0004716975,0.0002849063],"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":[0.0001121201,0.000379155,0.00002500143,0.00009707549,0.0006696401,0.0007848091,0.00000641102,2.363454e-7,0.00001225555,0.000009497954,0.9971008,0.0008029942],"study_design_scores_gemma":[0.001483737,0.0003970363,0.0002950993,0.0007897947,0.003328177,0.0003193812,0.000009769663,0.000006697608,0.00001488668,0.00009394156,0.9930018,0.0002596963],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000165012,0.0007841285,0.00001084948,0.002605795,0.0007194653,0.0005007516,0.9946719,0.00009623788,0.0004458],"genre_scores_gemma":[0.0000347395,0.0005990119,0.00009078313,0.0002863359,0.0009986699,0.00002475142,0.9952353,0.00003709333,0.002693342],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.004099021,"threshold_uncertainty_score":0.9999923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02026867097097563,"score_gpt":0.4399389910837241,"score_spread":0.4196703201127485,"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."}}