{"id":"W4243545403","doi":"10.1515/iupac.79.1453","title":"Immune Response","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":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Hazard; Computer science; Toxicology; Chemistry; Biology; 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":[0.00118653,0.001597706,0.001720582,0.0027413,0.0006281144,0.002381238,0.001932746,0.001642549,0.079127],"category_scores_gemma":[0.01004795,0.0004570324,0.002022955,0.003951622,0.000222484,0.001285317,0.001340027,0.001583331,0.06158436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001210113,"about_ca_system_score_gemma":0.002078244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0101544,"about_ca_topic_score_gemma":0.01975136,"domain_scores_codex":[0.9985178,0.000242284,0.0003166375,0.0004797126,0.000285592,0.000158018],"domain_scores_gemma":[0.9970053,0.001066643,0.0005068785,0.0005218232,0.0006963202,0.0002030261],"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":[0.0005667236,0.00005266966,0.008340695,0.004979039,0.0002449976,0.00005651832,0.00003853274,0.0004477534,0.0002648161,0.0006320634,0.9644065,0.01996963],"study_design_scores_gemma":[0.0004931246,0.00007413121,0.02135136,0.001811596,0.0002762903,0.0002327937,0.00007099716,0.0003411067,0.0004456496,0.001603174,0.9732506,0.00004911625],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002978907,0.0005348423,0.00009582309,0.00009229306,0.00004336002,0.00003042571,0.9972706,0.0001458604,0.001488805],"genre_scores_gemma":[0.001362538,0.0004417513,0.0004230117,0.0002642306,0.00002789588,0.000218685,0.9955178,0.00004080619,0.001703421],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.079127,"threshold_uncertainty_score":0.2647062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01098124802933059,"score_gpt":0.3657828714404749,"score_spread":0.3548016234111443,"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."}}