{"id":"W4231413910","doi":"10.1515/iupac.87.0398","title":"Mydriasis","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Sympathectomy and Hyperhidrosis Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Relation (database); Computer science; Psychology; 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":[0.0007353927,0.00106759,0.001175087,0.002441616,0.0004572111,0.001521884,0.001415724,0.001202933,0.08127101],"category_scores_gemma":[0.008935159,0.0003407945,0.001524613,0.003056407,0.0002787611,0.001315743,0.001291421,0.001066166,0.05293769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009034597,"about_ca_system_score_gemma":0.001507301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008596963,"about_ca_topic_score_gemma":0.01961967,"domain_scores_codex":[0.999007,0.0001555762,0.0003103357,0.0002757776,0.0001721953,0.00007910063],"domain_scores_gemma":[0.9964926,0.0009734778,0.0009181252,0.0006204992,0.0008205107,0.0001747718],"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":[0.0005887066,0.00003735039,0.007137696,0.006164923,0.0001935891,0.0001095922,0.00003148216,0.0003429058,0.0002332773,0.0007829269,0.9516026,0.03277485],"study_design_scores_gemma":[0.0004939204,0.00006300032,0.02290458,0.00289715,0.0001807678,0.0006710185,0.00007869612,0.0003534755,0.0004159919,0.001691479,0.970199,0.00005103868],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007476187,0.001234052,0.0003067794,0.0001618834,0.00008566321,0.00009272309,0.9923632,0.0003346489,0.004673399],"genre_scores_gemma":[0.003856092,0.001606052,0.001168838,0.0004281779,0.00007071174,0.0003699349,0.9884865,0.00008986659,0.003923841],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08127101,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01949657332431318,"score_gpt":0.4203233302184685,"score_spread":0.4008267568941553,"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."}}