{"id":"W2983015133","doi":"10.14785/lymphosign-2019-0017","title":"Precision medicine applications for severe asthma","year":2019,"lang":"en","type":"article","venue":"LymphoSign Journal","topic":"Asthma and respiratory diseases","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mepolizumab; Benralizumab; Dupilumab; Omalizumab; Medicine; Asthma; Intensive care medicine; Precision medicine; Exhaled nitric oxide; Clinical trial; Immunology; Eosinophil; Immunoglobulin E; Internal medicine; Pathology","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":[0.004039591,0.001333137,0.002260154,0.002856438,0.0007478897,0.003987304,0.001559364,0.003727298,0.01925916],"category_scores_gemma":[0.01034907,0.0004459787,0.00220893,0.002035823,0.001471233,0.002526482,0.002823168,0.004121877,0.006002494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001591127,"about_ca_system_score_gemma":0.00250501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001233073,"about_ca_topic_score_gemma":0.001371024,"domain_scores_codex":[0.9974778,0.0008495014,0.0002263252,0.0004310077,0.0008772636,0.0001380395],"domain_scores_gemma":[0.9950837,0.003010335,0.0004056421,0.0003618513,0.0009170186,0.0002212489],"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":[0.0003141842,0.00008921959,0.001253434,0.01409285,0.0005701845,0.0008026249,0.0004016707,0.00393675,0.007016834,0.1012858,0.1086486,0.7615879],"study_design_scores_gemma":[0.00006894676,0.000205691,0.0008723416,0.003660363,0.0002946028,0.001016856,0.0001507145,0.002952135,0.002539103,0.07768084,0.9104638,0.0000945921],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002056789,0.8548424,0.07198531,0.02301714,0.008132444,0.0003175514,0.001855655,0.002798864,0.03499377],"genre_scores_gemma":[0.06276923,0.8117856,0.08249582,0.01754979,0.009060635,0.0007207665,0.003031804,0.000399004,0.01218738],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01925916,"threshold_uncertainty_score":0.06442827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0118071353103412,"score_gpt":0.2870215636943239,"score_spread":0.2752144283839827,"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."}}