{"id":"W2161597365","doi":"10.3899/jrheum.150281","title":"“ACPA” in Rheumatoid Arthritis: From Population-based Data to Personalized Medicine","year":2015,"lang":"en","type":"letter","venue":"The Journal of Rheumatology","topic":"Rheumatoid Arthritis Research and Therapies","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University Health Centre","funders":"","keywords":"Medicine; Rheumatology; Rheumatism; Rheumatoid arthritis; Rheumatoid factor; Internal medicine; Autoantibody; Serology; Population; Antibody; Immunology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.03884858,0.001017216,0.003533568,0.005932976,0.0004994001,0.004872575,0.002599585,0.004341782,0.004500274],"category_scores_gemma":[0.1187569,0.0007710308,0.00216899,0.009958467,0.00162419,0.004767714,0.004518265,0.005537357,0.001021586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001760192,"about_ca_system_score_gemma":0.002314856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003261096,"about_ca_topic_score_gemma":0.002131528,"domain_scores_codex":[0.9714422,0.02060545,0.001985759,0.003424849,0.002240908,0.0003008496],"domain_scores_gemma":[0.8528159,0.1250073,0.007002385,0.009071902,0.004376438,0.001726012],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001423585,0.0001661745,0.1831148,0.01182844,0.01239476,0.0007569323,0.001218797,0.009182377,0.0003010903,0.03851764,0.1321906,0.608905],"study_design_scores_gemma":[0.0006472914,0.001043148,0.1651665,0.02540135,0.0103257,0.002270605,0.00129192,0.04604021,0.0007618244,0.5020514,0.2443323,0.0006678726],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"commentary","genre_scores_codex":[0.04623237,0.5823504,0.1023163,0.2131001,0.007468297,0.0003709613,0.03858485,0.001150072,0.008426698],"genre_scores_gemma":[0.503367,0.287785,0.08354113,0.07491846,0.02834263,0.001166055,0.01914211,0.0003945164,0.001343079],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.03884858,"threshold_uncertainty_score":0.2054534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05584752299181812,"score_gpt":0.3235970481931683,"score_spread":0.2677495252013501,"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."}}