{"id":"W4243711833","doi":"10.1515/iupac.84.0375","title":"CD8+ T Suppressor Cell","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Immunotoxicology and immune responses","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Immunotoxicology; Relation (database); Immunology; Medicine; Computer science; Immune system; Philosophy; Linguistics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008239191,0.001129652,0.001250697,0.002002796,0.0005958135,0.001976019,0.001511275,0.001227213,0.04787986],"category_scores_gemma":[0.004580869,0.0004212336,0.001187783,0.002679967,0.0002367,0.0009232809,0.000966857,0.001664698,0.04039131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008748852,"about_ca_system_score_gemma":0.001365907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007274108,"about_ca_topic_score_gemma":0.01233082,"domain_scores_codex":[0.9990302,0.000119646,0.0001658907,0.000330519,0.000207535,0.0001461121],"domain_scores_gemma":[0.9984818,0.0003987323,0.0002805652,0.0003365094,0.0003603269,0.0001421339],"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":[0.0007975537,0.00008059071,0.01665565,0.002540946,0.0001583298,0.00009174671,0.00003535147,0.0006437758,0.0007820418,0.0006628282,0.953733,0.02381821],"study_design_scores_gemma":[0.0007445493,0.0001225337,0.02909446,0.0007576667,0.0001818201,0.0003997077,0.00008753825,0.0007152159,0.001823068,0.002100153,0.9639279,0.00004530895],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001294928,0.0004539019,0.000169929,0.0001315288,0.00007969092,0.00003385217,0.9957045,0.0002614941,0.001870189],"genre_scores_gemma":[0.003728499,0.0003245324,0.0005140343,0.0002390785,0.00003463214,0.0001818758,0.9923313,0.00004607674,0.002600088],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04787986,"threshold_uncertainty_score":0.160174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01001003802081932,"score_gpt":0.3504970918252224,"score_spread":0.3404870538044031,"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."}}