{"id":"W2049170309","doi":"10.1016/j.cytogfr.2014.10.008","title":"Pharmacogenomics of interferon-β in multiple sclerosis: What has been accomplished and how can we ensure future progress?","year":2014,"lang":"en","type":"review","venue":"Cytokine & Growth Factor Reviews","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Cameco (Canada); Saskatoon City Hospital; University of Saskatchewan","funders":"Canadian Institutes of Health Research","keywords":"Pharmacogenomics; Multiple sclerosis; Genotyping; Interferon; Medicine; Computational biology; Immunology; Bioinformatics; Data science; Pharmacology; Biology; Computer science; Genetics; Genotype; Gene","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003159429,0.0009360313,0.003786029,0.002116868,0.0002483724,0.001651672,0.001164554,0.001634551,0.002155655],"category_scores_gemma":[0.003963707,0.0003550698,0.001423669,0.003021828,0.0006866077,0.001589614,0.0007314092,0.001830724,0.0006860263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007849348,"about_ca_system_score_gemma":0.002985712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001980116,"about_ca_topic_score_gemma":0.003717483,"domain_scores_codex":[0.9993625,0.000227578,0.0001094772,0.00007530386,0.0001839971,0.00004118998],"domain_scores_gemma":[0.9970326,0.002126249,0.000336179,0.00005522776,0.0003795851,0.00007008827],"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":[0.0002227185,0.00008132975,0.000496553,0.04854866,0.0009618369,0.0001817292,0.00004636186,0.0003567362,0.001263085,0.003391046,0.01703508,0.9274148],"study_design_scores_gemma":[0.0003193023,0.0004778871,0.005016678,0.05489377,0.005352876,0.001982747,0.0002298486,0.0005363068,0.001368824,0.009676297,0.9200336,0.0001117252],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00004313198,0.9994288,0.00006293131,0.0003020993,0.00007754765,0.000002131852,0.000007623418,0.000002079995,0.00007358137],"genre_scores_gemma":[0.0003750699,0.9990568,0.0001860839,0.0002071719,0.0001100134,0.000003826047,0.000009079566,5.828389e-7,0.00005144017],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003786029,"threshold_uncertainty_score":0.01670891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2174307819422628,"score_gpt":0.3660661239216215,"score_spread":0.1486353419793587,"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."}}