{"id":"W1990367476","doi":"10.1186/1753-6561-1-s1-s120","title":"Application of bivariate mixed counting process models to genetic analysis of rheumatoid arthritis severity","year":2007,"lang":"en","type":"article","venue":"BMC Proceedings","topic":"Rheumatoid Arthritis Research and Therapies","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto; Toronto Public Health; Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital","funders":"Canadian Institutes of Health Research; Mitacs","keywords":"Rheumatoid arthritis; Bivariate analysis; Candidate gene; Medicine; Single-nucleotide polymorphism; Univariate; PTPN22; Disease; Gene; Internal medicine; Genetics; Biology; Multivariate statistics; Genotype; Statistics; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008213633,0.0001533994,0.0005996808,0.0004999881,0.00006632478,0.00002221444,0.0001647283,0.00008539845,0.00002325677],"category_scores_gemma":[0.0001905499,0.0001499066,0.0001482674,0.001857873,0.00009844579,0.0001866209,0.00005104089,0.0001117955,0.000005458286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003704363,"about_ca_system_score_gemma":0.00008423217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003281012,"about_ca_topic_score_gemma":0.0001736187,"domain_scores_codex":[0.9979894,0.000006830893,0.000665292,0.0003326171,0.0006349809,0.0003708654],"domain_scores_gemma":[0.9983232,0.00005475074,0.000271836,0.0001687089,0.0009745984,0.0002069125],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001668733,0.0007230052,0.7408937,0.001271388,0.001413834,0.000004660056,0.009132768,0.001031435,0.1267186,0.006013969,0.0001473765,0.1109805],"study_design_scores_gemma":[0.003991028,0.0006962313,0.6782504,0.00127171,0.0001247867,0.00007840685,0.004103533,0.159627,0.145693,0.004705342,0.0008391934,0.0006194395],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.947653,0.001144283,0.04969712,0.00004718934,0.00001693777,0.0005940967,0.00001456835,0.00005441536,0.0007783775],"genre_scores_gemma":[0.9894861,0.001847625,0.008506306,0.00003519871,0.00002160512,0.00005514464,0.00001369748,0.00002330774,0.00001098775],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1585955,"threshold_uncertainty_score":0.6113015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01895167173294861,"score_gpt":0.2842608842784631,"score_spread":0.2653092125455145,"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."}}