{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02707678,0.0006750894,0.002318906,0.001771462,0.003243124,0.01018785,0.002032887,0.01119016,0.008832506],"category_scores_gemma":[0.02580104,0.0004541449,0.0008422972,0.001440731,0.03087444,0.02225232,0.005214414,0.02069402,0.001749814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004753404,"about_ca_system_score_gemma":0.005590787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00170298,"about_ca_topic_score_gemma":0.002704342,"domain_scores_codex":[0.9913731,0.005617493,0.0005176955,0.0004828256,0.001457226,0.0005516824],"domain_scores_gemma":[0.9518168,0.03519807,0.002063517,0.003530654,0.004036704,0.003354229],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003937322,0.0003636552,0.002102915,0.003096326,0.0001851455,0.0007408716,0.005206227,0.0004322373,0.0006025778,0.5755585,0.2201785,0.1911394],"study_design_scores_gemma":[0.0002142666,0.0002696179,0.001998465,0.00701306,0.00009632047,0.002006134,0.006168129,0.0004126986,0.0003151977,0.4937035,0.4876835,0.0001192356],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001815583,0.2464022,0.001623422,0.7301241,0.009982324,0.000008550192,0.00004061136,0.00004329035,0.009959996],"genre_scores_gemma":[0.1418507,0.3839822,0.006662573,0.3461103,0.1145695,0.0001300796,0.00009817183,0.00009279736,0.006503661],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02707678,"threshold_uncertainty_score":0.1431974,"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."}}