{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002342316,0.0005137483,0.0010153,0.0002735656,0.0001022762,0.0000302009,0.0002099914,0.0005261767,0.008020047],"category_scores_gemma":[0.0003843261,0.0003314354,0.0003663509,0.0001676561,0.0001224842,0.00005815726,0.00009980507,0.0003811322,0.00002615829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000591483,"about_ca_system_score_gemma":0.0008394532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008590814,"about_ca_topic_score_gemma":0.0001329746,"domain_scores_codex":[0.9973433,0.00005380142,0.0004387008,0.0005794862,0.001120537,0.0004641938],"domain_scores_gemma":[0.9979196,0.00008111337,0.0001917631,0.001123854,0.0003679079,0.0003157562],"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":[0.0004175426,0.0007986451,0.0001509603,0.0001487549,0.0005259675,0.0003963891,0.00001033941,2.080934e-8,0.0000180927,0.000002508709,0.9897344,0.007796415],"study_design_scores_gemma":[0.004163502,0.0006929178,0.0003271293,0.001055139,0.00110136,0.0001525126,0.00001260393,4.445509e-7,0.0001022644,0.00003927605,0.9920186,0.0003342636],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006931977,0.001375945,0.00001102972,0.001055104,0.0006723094,0.0004695809,0.9954235,0.0001063665,0.0001929448],"genre_scores_gemma":[0.00007794864,0.002280266,0.00007193693,0.0008500204,0.00146594,0.00003451225,0.9935742,0.00005726573,0.001587885],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.007993889,"threshold_uncertainty_score":0.9999138,"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."}}