{"id":"W4245375513","doi":"10.3233/hab-2011-0253","title":"Session 9: Anti-Infective Antibodies","year":2011,"lang":"en","type":"article","venue":"Human Antibodies","topic":"Immunodeficiency and Autoimmune Disorders","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Antibody; Session (web analytics); Medicine; Virology; Chemistry; Computational biology; Biology; Immunology; Computer science; World Wide Web","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":[0.003008622,0.001827405,0.001486839,0.001627115,0.001915084,0.002709995,0.001649499,0.007132925,0.1063187],"category_scores_gemma":[0.002127877,0.0004310212,0.001630922,0.0007697476,0.0004527339,0.001477218,0.004026685,0.003639156,0.05164488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00136186,"about_ca_system_score_gemma":0.002559662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009624042,"about_ca_topic_score_gemma":0.002772638,"domain_scores_codex":[0.9986141,0.000293353,0.00008344209,0.0002105221,0.0003946255,0.0004039133],"domain_scores_gemma":[0.9971172,0.0002426085,0.0001452577,0.00009607588,0.000798305,0.001600586],"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":[0.0004241675,0.0003088358,0.001272003,0.0007332964,0.00004247976,0.0004108764,0.00009044616,0.0001896631,0.002490874,0.001055355,0.9144924,0.07848959],"study_design_scores_gemma":[0.00007606055,0.0003154369,0.003622025,0.0004371163,0.00003500118,0.0006323252,0.0000936324,0.0001537981,0.0009770538,0.001450882,0.9921909,0.00001569335],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.01513755,0.07997739,0.009106005,0.1508495,0.4023502,0.003074722,0.003885466,0.001123767,0.3344954],"genre_scores_gemma":[0.02662397,0.03283264,0.002209375,0.02984799,0.1889013,0.0009721,0.003312634,0.0003291711,0.7149708],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8936813,"threshold_uncertainty_score":0.3556714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02978624233131431,"score_gpt":0.2647196163938655,"score_spread":0.2349333740625512,"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."}}