{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001465325,0.001744233,0.001658116,0.003343868,0.0009008024,0.003252117,0.002845031,0.002148219,0.1830524],"category_scores_gemma":[0.01231177,0.0006119903,0.001868385,0.005231777,0.0003071349,0.002139143,0.001840813,0.001598894,0.2004157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00146763,"about_ca_system_score_gemma":0.002890433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01397645,"about_ca_topic_score_gemma":0.02661353,"domain_scores_codex":[0.9979771,0.0003322845,0.0003421637,0.000745715,0.0003920163,0.0002107374],"domain_scores_gemma":[0.996048,0.001150418,0.0004404497,0.0009530863,0.001144005,0.0002640106],"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":[0.0001609234,0.00002293336,0.001484149,0.001467618,0.00006314459,0.00002712945,0.00001864498,0.0001963542,0.0001157177,0.0007277467,0.9867871,0.008928661],"study_design_scores_gemma":[0.0002112284,0.00002094604,0.003166486,0.0005979369,0.00006060798,0.00008352048,0.0000414145,0.0002006826,0.0002020204,0.001649393,0.993744,0.00002177044],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001084022,0.0002084892,0.000128215,0.0001023768,0.00003785497,0.0000274303,0.9971536,0.0002913599,0.001942212],"genre_scores_gemma":[0.0004123547,0.0001713045,0.000420832,0.0002063969,0.00001556353,0.0001182346,0.997097,0.00006659095,0.001491742],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8169476,"threshold_uncertainty_score":0,"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."}}