{"id":"W4252804439","doi":"10.22215/etd/2016-11456","title":"Role of genomic variants in the response to biologics targeting common autoimmune disorders","year":2016,"lang":"en","type":"dissertation","venue":"","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Phenotype; Medicine; Immunology; Immune system; Disease; Inflammation; Tumor necrosis factor alpha; Autoimmune disease; Bioinformatics; Biology; Antibody; Internal medicine; Genetics; Gene","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":[0.0004011574,0.0002325668,0.0002610479,0.0003804516,0.0001493205,0.0007267967,0.0001845937,0.0004365302,0.003626796],"category_scores_gemma":[0.001723334,0.0001020115,0.0003048936,0.000378543,0.0002256075,0.0001853233,0.0001840113,0.0005253324,0.0004665862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002351984,"about_ca_system_score_gemma":0.0002117644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006852948,"about_ca_topic_score_gemma":0.0005104737,"domain_scores_codex":[0.9995517,0.0001378183,0.00002725155,0.0001213248,0.00008952849,0.00007229663],"domain_scores_gemma":[0.9993722,0.0002372219,0.0002154337,0.00004761628,0.00005678253,0.00007078367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.008170257,0.0006433433,0.619814,0.0004506123,0.001790551,0.003993999,0.0009808358,0.00189733,0.2095155,0.005792964,0.003605399,0.1433452],"study_design_scores_gemma":[0.0001573291,0.0009419374,0.9715325,0.0001149887,0.0006763073,0.002835353,0.0002193131,0.0005360363,0.01155807,0.002763435,0.008634847,0.00002979137],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9787632,0.01131701,0.0009160183,0.000824556,0.0001286717,0.00002494833,0.001335872,0.00003586664,0.006653881],"genre_scores_gemma":[0.9954666,0.002015699,0.0003810532,0.0002140426,0.00008658715,0.00001023275,0.0004728212,0.00001660725,0.001336379],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003626796,"threshold_uncertainty_score":0.01213282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01436413016975976,"score_gpt":0.321428963386739,"score_spread":0.3070648332169792,"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."}}