{"id":"W2417935541","doi":"10.3899/jrheum.160424","title":"Prospecting for Precision: Promises for Personalized Medicine","year":2016,"lang":"en","type":"letter","venue":"The Journal of Rheumatology","topic":"Systemic Lupus Erythematosus Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Single-nucleotide polymorphism; Medicine; Personalized medicine; SNP; Lupus nephritis; Genetics; Human genome; Genome-wide association study; Genome; Computational biology; Bioinformatics; Gene; Genotype; Biology; Disease; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0130255,0.001576307,0.002267636,0.002498827,0.002610011,0.01288392,0.002828118,0.0108674,0.0172467],"category_scores_gemma":[0.03073234,0.0007251011,0.001490176,0.001371422,0.006788495,0.01195927,0.003844415,0.02247154,0.009767218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002918713,"about_ca_system_score_gemma":0.004606897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006631005,"about_ca_topic_score_gemma":0.001425059,"domain_scores_codex":[0.9919818,0.002178106,0.0006783044,0.001267857,0.003185033,0.0007089207],"domain_scores_gemma":[0.9587954,0.02492047,0.002194883,0.002198895,0.006501161,0.005389321],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001724212,0.0000648986,0.0005360728,0.0007188139,0.0001215997,0.0002566265,0.0002978401,0.0002095248,0.0005613895,0.02381793,0.8236596,0.1495833],"study_design_scores_gemma":[0.00002950911,0.00003982175,0.0002313672,0.0003179859,0.00002864661,0.0002168074,0.0001841815,0.0001405456,0.0001654719,0.02485526,0.973754,0.00003638558],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0005041391,0.140462,0.003911913,0.6537876,0.1939136,0.00002194584,0.0001771435,0.0003829407,0.006838777],"genre_scores_gemma":[0.008288822,0.1315461,0.004483675,0.2996513,0.5402263,0.00006390992,0.0002792835,0.000378668,0.01508186],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.0172467,"threshold_uncertainty_score":0.06888622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05406553876573201,"score_gpt":0.353065883948289,"score_spread":0.299000345182557,"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."}}