{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008824646,0.001121913,0.001243038,0.003130492,0.0004601541,0.001937379,0.001272516,0.001162786,0.1070792],"category_scores_gemma":[0.00913714,0.0005218099,0.001561279,0.004776562,0.000277784,0.001386774,0.001468306,0.001531848,0.06265461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000897109,"about_ca_system_score_gemma":0.001931392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01112867,"about_ca_topic_score_gemma":0.02071805,"domain_scores_codex":[0.9989088,0.0001941133,0.0003260264,0.0002977283,0.0001841853,0.00008914742],"domain_scores_gemma":[0.9966432,0.001249787,0.0006671682,0.0006402665,0.000619736,0.0001799576],"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":[0.0004355994,0.00002552787,0.003905304,0.008749607,0.000148373,0.00008279388,0.0000455895,0.0003149463,0.0002970697,0.001252453,0.9583464,0.02639633],"study_design_scores_gemma":[0.0003162624,0.00003356201,0.009740494,0.002083237,0.0001118528,0.000215142,0.00004398309,0.0001397834,0.0001968013,0.001318278,0.9857711,0.00002953333],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001729349,0.0006454617,0.000112675,0.0001073736,0.0000423895,0.000036945,0.9967117,0.0001613179,0.002009136],"genre_scores_gemma":[0.001266313,0.001081988,0.0008585509,0.000364293,0.00004060866,0.0002745175,0.9939256,0.00007518916,0.002112884],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8929208,"threshold_uncertainty_score":0,"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."}}