{"id":"W4230942765","doi":"10.1515/iupac.84.0816","title":"Latex Agglutination Test","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Biotechnology and Related Fields","field":"Medicine","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":[0.001151967,0.001268004,0.001666977,0.003273504,0.0004962223,0.001934388,0.001533829,0.001251885,0.04797556],"category_scores_gemma":[0.01130344,0.0003732273,0.001380491,0.004351683,0.0002853914,0.001157333,0.0009670053,0.001886023,0.02915844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001226075,"about_ca_system_score_gemma":0.001563398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01106579,"about_ca_topic_score_gemma":0.01368082,"domain_scores_codex":[0.9977614,0.000263404,0.0006822897,0.0006530937,0.0004479417,0.0001919676],"domain_scores_gemma":[0.9937032,0.001542739,0.001634842,0.0009250303,0.001937395,0.0002567543],"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":[0.001199966,0.0001897274,0.07325862,0.003711466,0.0004071673,0.0002863824,0.00006543543,0.0006926559,0.0004217536,0.001160196,0.880311,0.03829551],"study_design_scores_gemma":[0.0006743519,0.000200119,0.159109,0.00195029,0.0003552929,0.001390607,0.0002163274,0.00135581,0.001377495,0.003855581,0.8293734,0.000141693],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003250331,0.0008640867,0.0003945298,0.0002587031,0.00008233017,0.0001269434,0.9894899,0.0003059932,0.005227229],"genre_scores_gemma":[0.01305331,0.001120358,0.001316863,0.0005621155,0.00008857721,0.0004565156,0.9786353,0.0001016699,0.004665329],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04797556,"threshold_uncertainty_score":0.1604943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008949354887540084,"score_gpt":0.3831969366784852,"score_spread":0.3742475817909451,"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."}}