{"id":"W4256241595","doi":"10.1515/iupac.79.0827","title":"Antibody","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Immunodeficiency and Autoimmune Disorders","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Computer science; Toxicology; Library science; Chemistry; Philosophy; Biology; Linguistics; Organic chemistry","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":[0.0004986371,0.000571669,0.0008095448,0.0002708973,0.0003300328,0.0000322513,0.0008513541,0.0009515793,0.01582335],"category_scores_gemma":[0.0003601785,0.0004187695,0.0003104281,0.0001884113,0.0005367371,0.00009383409,0.0002574011,0.0008624599,0.0001331586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000149797,"about_ca_system_score_gemma":0.0006433955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002038536,"about_ca_topic_score_gemma":0.00002829686,"domain_scores_codex":[0.9976284,0.0001954248,0.0006074925,0.0006129197,0.000179302,0.0007764689],"domain_scores_gemma":[0.9981509,0.0001140685,0.0003279177,0.00110883,0.0002861542,0.00001214922],"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":[0.0001784304,0.0003737764,0.000002908792,0.0000662919,0.0002603729,0.00002100977,0.00002270319,2.85071e-7,0.007121995,0.0000181164,0.9836243,0.008309828],"study_design_scores_gemma":[0.001727802,0.0002123157,0.00005339015,0.0003367951,0.0001323773,0.00004998294,0.00006804866,8.303289e-8,0.0003477292,0.00008250277,0.9964051,0.0005838214],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001664257,0.04742689,0.0001177893,0.000276644,0.003336753,0.0002604757,0.9480857,0.0001195295,0.0002097488],"genre_scores_gemma":[0.0003613739,0.002736672,0.00000145061,0.0003029288,0.00003974582,0.00001250042,0.9935349,0.00003961657,0.002970803],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04544916,"threshold_uncertainty_score":0.9998264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008603999864370233,"score_gpt":0.3731986792339146,"score_spread":0.3645946793695444,"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."}}