{"id":"W1979639173","doi":"10.1097/01.pat.0000443477.12540.77","title":"Personalised medicine in autoimmune diseases: myth or reality?","year":2014,"lang":"en","type":"article","venue":"Pathology","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Pharmacogenomics; Realm; Genomics; Medicine; Personalized medicine; Precision medicine; Data science; Engineering ethics; Bioinformatics; Biology; Computer science; Engineering; Pharmacology; Political science; Pathology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005171006,0.0001532509,0.0005165429,0.0001923021,0.00005801469,0.000004281885,0.0001347681,0.0001058512,0.00162463],"category_scores_gemma":[0.0007776816,0.00009534123,0.00007115833,0.0002499672,0.0003861799,0.00003232734,0.00007669503,0.0002881097,0.0001539933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004321884,"about_ca_system_score_gemma":0.00009208567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004203165,"about_ca_topic_score_gemma":0.00007698531,"domain_scores_codex":[0.998394,0.0002615385,0.0003164415,0.0003241916,0.0002919854,0.0004118585],"domain_scores_gemma":[0.9990461,0.0003268846,0.00004982186,0.0003100693,0.0000680419,0.0001990125],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01788539,0.002136061,0.6355571,0.002076618,0.0002176168,0.01515774,0.008604131,0.00001523192,0.06559166,0.0441231,0.07254045,0.1360949],"study_design_scores_gemma":[0.004107411,0.001535168,0.8465663,0.0001949297,0.00005812237,0.0008490692,0.0002867395,0.001225824,0.00009532559,0.00180012,0.1430868,0.0001942172],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8889163,0.001571012,0.0002081944,0.07032432,0.0003103736,0.0004469077,0.00003599831,0.000100071,0.03808688],"genre_scores_gemma":[0.9817265,0.0003180231,0.0002678103,0.0049637,0.0004759496,0.00004083614,0.0001314278,0.00002124607,0.01205446],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2110091,"threshold_uncertainty_score":0.999288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04504876113364533,"score_gpt":0.3624927320245583,"score_spread":0.317443970890913,"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."}}