{"id":"W2960529495","doi":"10.1111/bjd.18333","title":"Psoriasis treat to target: defining outcomes in psoriasis using data from a real‐world, population‐based cohort study (the British Association of Dermatologists Biologics and Immunomodulators Register, <scp>BADBIR</scp> )","year":2019,"lang":"en","type":"article","venue":"British Journal of Dermatology","topic":"Psoriasis: Treatment and Pathogenesis","field":"Immunology and Microbiology","cited_by":154,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Infection and Immunity","funders":"Manchester Biomedical Research Centre; NIHR Newcastle Biomedical Research Centre; Medical Research Council; National Institute for Health and Care Research; Psoriasis Association","keywords":"Interquartile range; Medicine; Psoriasis; Concordance; Psoriasis Area and Severity Index; Cohort; Internal medicine; Rank correlation; Severity of illness; Population; Dermatology; Statistics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008857739,0.0003139461,0.001548171,0.0003756831,0.000311265,0.0001370805,0.0007188065,0.0004203319,0.00004904473],"category_scores_gemma":[0.000946802,0.0003132027,0.0001844966,0.0004713859,0.00009338872,0.0003206612,0.000259993,0.000391841,0.00002353833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002116546,"about_ca_system_score_gemma":0.0001536157,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01655088,"about_ca_topic_score_gemma":0.008559837,"domain_scores_codex":[0.9958306,0.001413147,0.001522081,0.000543407,0.0001685229,0.0005222458],"domain_scores_gemma":[0.9958547,0.001755333,0.001520546,0.0005904673,0.0002207947,0.00005820206],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009512416,0.0004400821,0.9921218,0.0000164101,0.001031617,0.0004751957,0.0002115683,0.00004791536,0.0007103459,0.000008682407,0.0007229969,0.004118325],"study_design_scores_gemma":[0.005349056,0.0001322118,0.988241,0.0001674824,0.0005750726,0.003444659,0.0006172637,0.00005711067,0.0007559769,0.00009659952,0.0003991527,0.0001644576],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922403,0.005146701,0.00006102444,0.0001504469,0.001132476,0.0007294971,0.0004209583,0.00002705468,0.00009157255],"genre_scores_gemma":[0.9976956,0.0005703659,0.0009402704,0.000112688,0.00002894433,0.00001720519,0.0004160001,0.00003347563,0.0001854057],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007991043,"threshold_uncertainty_score":0.999932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02617875109033765,"score_gpt":0.2746823743213015,"score_spread":0.2485036232309639,"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."}}