{"id":"W4232561032","doi":"10.1515/iupac.84.0840","title":"Lymphatic Tissue","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; Medicine; Immunology; Immune system; Philosophy; Linguistics","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":[0.0008823348,0.001167197,0.001226414,0.00308163,0.0006981702,0.003077755,0.002115121,0.001510856,0.1278152],"category_scores_gemma":[0.007537797,0.000505177,0.001469999,0.004558729,0.0003200684,0.001990816,0.001996242,0.001666891,0.1112323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001359475,"about_ca_system_score_gemma":0.002651552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01162415,"about_ca_topic_score_gemma":0.02139165,"domain_scores_codex":[0.9988488,0.0001535319,0.0002276811,0.0003668193,0.0002315683,0.0001715177],"domain_scores_gemma":[0.9968984,0.000887443,0.0004885454,0.0007077577,0.0007871946,0.0002306214],"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":[0.0003833754,0.00002909223,0.005393126,0.003876148,0.0001029144,0.00009559967,0.00004299897,0.0003901039,0.0003146858,0.001430018,0.9677798,0.02016205],"study_design_scores_gemma":[0.0001786853,0.00002176452,0.006537918,0.001449918,0.00006483424,0.0002310842,0.00007398896,0.0001900751,0.0003314071,0.001808954,0.9890891,0.00002224749],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002613168,0.0003832986,0.000137817,0.0001100069,0.00005507606,0.00002566632,0.9959995,0.0002322896,0.002795157],"genre_scores_gemma":[0.001292462,0.0004834413,0.00054338,0.0002677458,0.00002442539,0.0001110067,0.9947296,0.00007175783,0.00247633],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1278152,"threshold_uncertainty_score":0.4275845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01053565899130554,"score_gpt":0.3781940391819024,"score_spread":0.3676583801905968,"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."}}