{"id":"W4205595504","doi":"10.4049/jimmunol.2100961","title":"Minimal Information about MHC Multimers (MIAMM)","year":2022,"lang":"en","type":"article","venue":"The Journal of Immunology","topic":"Computational Drug Discovery Methods","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Infection and Immunity; NoNO (Canada)","funders":"National Institute of Allergy and Infectious Diseases; National Human Genome Research Institute; National Institute on Drug Abuse; Office of Extramural Research, National Institutes of Health; National Heart, Lung, and Blood Institute; National Institutes of Health; Yerkes National Primate Research Center, Emory University; Center for AIDS Research, Emory University","keywords":"Terminology; Major histocompatibility complex; Documentation; Computer science; Information retrieval; World Wide Web; Computational biology; Biology; Programming language; Immunology; Antigen","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":[0.01235268,0.001352003,0.001269164,0.009352465,0.001902685,0.005401997,0.003350987,0.002352986,0.008982703],"category_scores_gemma":[0.03885556,0.00128294,0.002363468,0.00740566,0.001497507,0.008705317,0.006348561,0.00399306,0.007476468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00220073,"about_ca_system_score_gemma":0.004915632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003292075,"about_ca_topic_score_gemma":0.004457125,"domain_scores_codex":[0.9897187,0.002030644,0.003006576,0.001601574,0.003178438,0.0004640514],"domain_scores_gemma":[0.9695929,0.009648059,0.004155034,0.01140693,0.0041489,0.001048125],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.002401656,0.0005462213,0.02149695,0.009833273,0.000672121,0.00118882,0.003638722,0.007190494,0.07177334,0.271006,0.2695712,0.3406811],"study_design_scores_gemma":[0.0000796368,0.0001345019,0.005625206,0.001277538,0.0002549319,0.0006529597,0.0002984464,0.007167802,0.03215333,0.1206574,0.8315281,0.0001701477],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01828902,0.002787582,0.6047868,0.003745202,0.0008875484,0.000941625,0.304298,0.03333598,0.03092828],"genre_scores_gemma":[0.05698304,0.001831953,0.5399139,0.001964272,0.0003023529,0.002223338,0.3878985,0.004058894,0.004823675],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01235268,"threshold_uncertainty_score":0.06532794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01305955199322224,"score_gpt":0.2675052176921323,"score_spread":0.2544456656989101,"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."}}