{"id":"W4255915853","doi":"10.1515/iupac.79.1429","title":"Hyperparathyroidism","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Parathyroid Disorders and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Computer science; Toxicology; Library science; Chemistry; Philosophy; Biology; Linguistics; Organic chemistry","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":[0.000714967,0.0009480575,0.001714218,0.00230735,0.0004164955,0.001381406,0.00140116,0.001056452,0.0583224],"category_scores_gemma":[0.007439502,0.0003960248,0.001674142,0.00496404,0.0001836623,0.0007963933,0.0009456131,0.001171252,0.02441727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009603904,"about_ca_system_score_gemma":0.001681985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009971023,"about_ca_topic_score_gemma":0.01863674,"domain_scores_codex":[0.9989713,0.0001336683,0.0003057752,0.0003197085,0.0001860009,0.00008342419],"domain_scores_gemma":[0.9975551,0.000752165,0.0005874602,0.0004048714,0.0005385649,0.0001619096],"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":[0.0009511031,0.00004205137,0.01273442,0.006655772,0.000495672,0.0001490849,0.0000322038,0.0003924444,0.0002543659,0.0007386748,0.9568052,0.02074899],"study_design_scores_gemma":[0.002044779,0.00008337791,0.07324386,0.004240693,0.0008311786,0.001318919,0.00009506731,0.0005393293,0.0004995762,0.002534408,0.9144821,0.0000868053],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004904279,0.0007736221,0.00008164367,0.00007852591,0.00003059078,0.00003318375,0.9970307,0.00006172222,0.00141959],"genre_scores_gemma":[0.003197215,0.0009068867,0.0003709452,0.0002297045,0.0000438771,0.0002686727,0.9936163,0.00003125568,0.001335019],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0583224,"threshold_uncertainty_score":0.1951079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01695210535796216,"score_gpt":0.4211801906295211,"score_spread":0.4042280852715589,"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."}}