{"id":"W4236602715","doi":"10.1515/iupac.84.0728","title":"Immunoglobulin Superfamily","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":"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":[0.000707614,0.001536379,0.001479493,0.004361345,0.0008072162,0.002698857,0.002360027,0.001563542,0.09881189],"category_scores_gemma":[0.006621453,0.0005332603,0.001392136,0.006788829,0.0002843414,0.001776498,0.001631765,0.001863026,0.1059425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001428094,"about_ca_system_score_gemma":0.00275206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02046662,"about_ca_topic_score_gemma":0.02954921,"domain_scores_codex":[0.9989187,0.000136895,0.0001957581,0.0003517056,0.0002445387,0.0001524683],"domain_scores_gemma":[0.9978061,0.0006334386,0.0003756416,0.000424691,0.0005754547,0.0001846834],"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":[0.0002128941,0.00002209552,0.004035913,0.001996716,0.00008064803,0.0000585347,0.00003409724,0.0002733053,0.0002329284,0.001057774,0.9793301,0.01266493],"study_design_scores_gemma":[0.0001242675,0.00001701842,0.008494438,0.0007020648,0.00005176486,0.0001612899,0.00005524722,0.0001603398,0.0002002503,0.001384036,0.9886309,0.00001837153],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002246503,0.0002976581,0.0001005699,0.0000858472,0.00002808018,0.00001193167,0.9971651,0.0002141863,0.001872024],"genre_scores_gemma":[0.0007894748,0.0003366263,0.0003423099,0.0001427732,0.0000130738,0.00004859467,0.996731,0.00004585514,0.001550216],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09881189,"threshold_uncertainty_score":0.3305587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01125374259143787,"score_gpt":0.3623100934479938,"score_spread":0.351056350856556,"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."}}