{"id":"W4253325695","doi":"10.1515/iupac.84.1109","title":"Regulatory T Cell (TREG)","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Cancer Immunotherapy and Biomarkers","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Immunotoxicology; Immunology; Disease; Medicine; Immune system; Pathology; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004829863,0.0004860601,0.0008058072,0.0002610436,0.00008756177,0.00002815334,0.0002707667,0.0005534951,0.009821821],"category_scores_gemma":[0.0000885155,0.0003382835,0.0004071097,0.0001923942,0.0002568579,0.00005348702,0.00008479928,0.0004724496,0.00000703865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008075766,"about_ca_system_score_gemma":0.001696798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001241104,"about_ca_topic_score_gemma":0.0001850656,"domain_scores_codex":[0.9971846,0.00005643033,0.0005458532,0.0005601808,0.00119273,0.0004601824],"domain_scores_gemma":[0.997754,0.00005757695,0.0002926622,0.00132308,0.0003445938,0.0002280369],"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":[0.002992611,0.0003222012,0.00001464036,0.0004313328,0.0002513901,0.0001620511,0.000008103493,3.457398e-8,0.000549247,7.975108e-7,0.9852285,0.01003912],"study_design_scores_gemma":[0.004808328,0.0006303232,0.0002119991,0.001047871,0.0003270978,0.00006953168,0.00001766515,3.705049e-7,0.0006051683,0.00001605347,0.9918479,0.0004176867],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005026885,0.006329188,0.00001494241,0.001269561,0.001089708,0.0004525696,0.9899251,0.0000880091,0.0003281711],"genre_scores_gemma":[0.00004715982,0.004363706,0.0000373095,0.001397165,0.001578857,0.00001530184,0.9863029,0.00006538117,0.00619219],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.009814782,"threshold_uncertainty_score":0.9999069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01193229284137133,"score_gpt":0.376379987614961,"score_spread":0.3644476947735897,"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."}}