{"id":"W4231666038","doi":"10.1515/iupac.84.0777","title":"Interleukin (IL)","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; Immunology; Medicine; 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":[0.0007255356,0.001304968,0.001326546,0.002352183,0.0005771814,0.002442956,0.001196658,0.001435977,0.09977959],"category_scores_gemma":[0.006026872,0.0004581205,0.001343066,0.004957169,0.0002852714,0.001478262,0.001063897,0.00194581,0.05853063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009818227,"about_ca_system_score_gemma":0.001815263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007310954,"about_ca_topic_score_gemma":0.01146782,"domain_scores_codex":[0.9987571,0.0001806488,0.0002799542,0.000381776,0.0002438088,0.0001566507],"domain_scores_gemma":[0.997632,0.00090304,0.0005410291,0.0003481632,0.0004178592,0.0001578178],"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":[0.001090757,0.00007280265,0.01685317,0.005732355,0.0001977744,0.0001209301,0.00006290116,0.0005937348,0.0005346215,0.001301016,0.9467372,0.02670288],"study_design_scores_gemma":[0.0004537511,0.0000632623,0.01669548,0.001579055,0.0001399313,0.000321518,0.00009163524,0.0002080532,0.0005308964,0.002215434,0.9776632,0.00003783719],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005938827,0.001118481,0.0001298628,0.0001862488,0.0000834365,0.00003058158,0.9946163,0.0001520249,0.003089204],"genre_scores_gemma":[0.004151102,0.001560179,0.0008193683,0.0006681978,0.00007071669,0.0002685364,0.9888029,0.00005855379,0.003600501],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09977959,"threshold_uncertainty_score":0.333796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01109056790502598,"score_gpt":0.3699073688545911,"score_spread":0.3588168009495651,"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."}}