{"id":"W4244131721","doi":"10.1515/iupac.84.0993","title":"Passive Hemagglutination","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Immunotoxicology and immune responses","field":"Immunology and Microbiology","cited_by":3,"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":[0.002081052,0.001873813,0.001895201,0.004531186,0.0009106723,0.003486423,0.002542319,0.001691742,0.05682537],"category_scores_gemma":[0.009336548,0.0007288602,0.001616818,0.007568027,0.0004447584,0.001824349,0.001851287,0.002723134,0.06937739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00160665,"about_ca_system_score_gemma":0.002577756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01147133,"about_ca_topic_score_gemma":0.01980106,"domain_scores_codex":[0.9964161,0.00054893,0.0008430089,0.001106328,0.0007860878,0.0002994965],"domain_scores_gemma":[0.9951457,0.001358981,0.0007939843,0.001298481,0.001128123,0.0002745788],"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":[0.0005480532,0.0001348957,0.005204437,0.00395108,0.0001598855,0.00006223356,0.00004763528,0.0004310885,0.0009746345,0.001082964,0.9720231,0.0153799],"study_design_scores_gemma":[0.0003914571,0.00008834373,0.01446147,0.0006116825,0.00009779449,0.000151671,0.00008661782,0.0003903466,0.001508172,0.001975254,0.9801814,0.00005591011],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005133708,0.0003846993,0.0002299367,0.00008845561,0.00005680666,0.00005611326,0.9963057,0.0003944254,0.00197047],"genre_scores_gemma":[0.0008397311,0.0003207039,0.0007473793,0.0001144252,0.00001306819,0.0002146592,0.9961367,0.00008419881,0.001529076],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05682537,"threshold_uncertainty_score":0.1900998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009500532800266373,"score_gpt":0.3658228895333706,"score_spread":0.3563223567331043,"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."}}