{"id":"W4389135684","doi":"10.55563/clinexprheumatol/b8co74","title":"Patient clusters identified by machine learning from a pooled analysis of the clinical development programme of secukinumab in psoriatic arthritis, ankylosing spondylitis and psoriatic arthritis with axial manifestations","year":2023,"lang":"en","type":"article","venue":"Clinical and Experimental Rheumatology","topic":"Spondyloarthritis Studies and Treatments","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Western Hospital","funders":"Novartis Pharma; Celgene; Pfizer; Eli Lilly and Company; Amgen","keywords":"Medicine; Secukinumab; Psoriatic arthritis; Ankylosing spondylitis; Enthesitis; Oligoarthritis; Enthesis; Demographics; Cluster (spacecraft); Internal medicine; Psoriasis; Arthritis; Physical therapy; Surgery; Dermatology; Polyarthritis; Demography","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":[],"consensus_categories":[],"category_scores_codex":[0.0003802037,0.0002175207,0.001246144,0.000168735,0.0001519088,0.00001690732,0.00006319054,0.0001479234,0.00006068608],"category_scores_gemma":[0.0003086503,0.0001625137,0.0001815965,0.0005385852,0.0006288579,0.00005207955,0.0001890129,0.0002584941,0.000002762647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003087914,"about_ca_system_score_gemma":0.00007800208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009733228,"about_ca_topic_score_gemma":0.001589005,"domain_scores_codex":[0.9969775,0.0003407216,0.001599092,0.0004980728,0.0002596119,0.0003249662],"domain_scores_gemma":[0.998506,0.000668132,0.0004218649,0.0001991148,0.00005324271,0.000151625],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001213977,0.001056755,0.9048482,0.00004829421,0.002422659,0.0001360463,0.003570344,0.000005330363,0.00007962825,0.00005901633,0.00004056989,0.08651925],"study_design_scores_gemma":[0.02944906,0.003248231,0.9489989,0.001565222,0.001240211,0.0001964239,0.01034797,0.002915032,0.0009497804,0.000135341,0.0005565588,0.0003973014],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911243,0.007676882,0.00001731171,0.0002078209,0.0002610221,0.0005551894,0.0001119436,0.00002743466,0.00001808306],"genre_scores_gemma":[0.9953347,0.003435287,0.0006118989,0.00005634474,0.000009400857,0.00008544801,0.0004335426,0.00001866783,0.00001465516],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08612195,"threshold_uncertainty_score":0.6627116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02558038291628446,"score_gpt":0.3158567218928593,"score_spread":0.2902763389765748,"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."}}