{"id":"W4244634908","doi":"10.1515/iupac.88.1421","title":"Thyroid Tissue, Accessory","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Autopsy Techniques and Outcomes","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); Medicine; Computer science; Linguistics; Data mining; Philosophy","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":[0.0008329461,0.0009362306,0.0009959537,0.003301106,0.0005911199,0.002227958,0.00156956,0.0008741316,0.1034215],"category_scores_gemma":[0.00977267,0.000384282,0.001532289,0.005232105,0.0004182531,0.001879588,0.001476561,0.001235791,0.05246338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001244462,"about_ca_system_score_gemma":0.002114298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01716314,"about_ca_topic_score_gemma":0.02733372,"domain_scores_codex":[0.9989158,0.0001357907,0.0003324882,0.0003021557,0.0002120371,0.0001017833],"domain_scores_gemma":[0.99681,0.0009904468,0.0007264423,0.0006056585,0.0007190403,0.000148424],"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":[0.0005000487,0.00002395071,0.01111824,0.008112054,0.0001917904,0.0002162348,0.0001112835,0.0003440448,0.000456114,0.002160912,0.9302859,0.04647953],"study_design_scores_gemma":[0.0001779458,0.00002643145,0.01666543,0.002615568,0.0001568418,0.000778178,0.0001464618,0.0001515605,0.0002693721,0.002972714,0.9760033,0.00003605586],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009667263,0.001973758,0.0004433744,0.0002738725,0.0001604673,0.00007356191,0.987135,0.0002965224,0.008676748],"genre_scores_gemma":[0.007214242,0.003061632,0.001939734,0.0009678687,0.0001231036,0.0003276594,0.9789434,0.0002221859,0.007200063],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1034215,"threshold_uncertainty_score":0.3459792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02661939831652576,"score_gpt":0.4817793895286425,"score_spread":0.4551599912121168,"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."}}