{"id":"W4240216053","doi":"10.1515/iupac.79.1354","title":"Granuloma","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Autoimmune and Inflammatory Disorders","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Computer science; Toxicology; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003235333,0.0004715465,0.0009373886,0.0002584693,0.00009967831,0.00002422545,0.0002604038,0.000506286,0.009855823],"category_scores_gemma":[0.0004028337,0.0003284711,0.0003322885,0.000158547,0.0002106022,0.0000803433,0.0001156992,0.0005694745,0.0000248107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002818005,"about_ca_system_score_gemma":0.001317759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005263502,"about_ca_topic_score_gemma":0.00009162769,"domain_scores_codex":[0.9973838,0.0000455893,0.0005876266,0.0004652785,0.001050489,0.0004671595],"domain_scores_gemma":[0.9979518,0.00004289952,0.0002506708,0.001146535,0.0004038585,0.0002042041],"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":[0.0003657001,0.0002089313,0.0000331248,0.000320757,0.0001890031,0.0002518568,0.000008033789,5.498347e-8,0.00002165627,0.000007577405,0.9902745,0.00831873],"study_design_scores_gemma":[0.002583712,0.0004211889,0.0002842313,0.0008453666,0.0003247233,0.00007489973,0.00002827563,8.158398e-7,0.00002383868,0.00007887535,0.9949476,0.0003864852],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002526073,0.001985902,0.00003947991,0.001480005,0.0006236711,0.0004323093,0.9946446,0.0001248918,0.0004165007],"genre_scores_gemma":[0.00001708089,0.002287155,0.00002093963,0.001146424,0.0007625986,0.00001790523,0.9934976,0.00005934418,0.002190998],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.009831012,"threshold_uncertainty_score":0.9999167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01091502208948038,"score_gpt":0.3887509884662627,"score_spread":0.3778359663767824,"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."}}