{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0118636,0.0006512952,0.002216938,0.002141238,0.0003399991,0.001061115,0.0005461072,0.0005962947,0.001206127],"category_scores_gemma":[0.0165334,0.0003280199,0.003077054,0.002051933,0.0002665691,0.0006592736,0.001309712,0.0004434188,0.0001942539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004947402,"about_ca_system_score_gemma":0.0005843841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00156692,"about_ca_topic_score_gemma":0.00155395,"domain_scores_codex":[0.9893162,0.006042224,0.001192695,0.001933769,0.001024934,0.0004901444],"domain_scores_gemma":[0.9874864,0.005723903,0.003611537,0.001924262,0.0009239805,0.0003298597],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01019388,0.0001180531,0.9480714,0.0002812307,0.009908171,0.0001930105,0.0002268244,0.001913849,0.002280578,0.00007800481,0.0008355592,0.02589948],"study_design_scores_gemma":[0.0002374643,0.001395883,0.9847605,0.00005719419,0.005022074,0.0004072674,0.0002120669,0.0062828,0.0006295915,0.0002164545,0.0007503864,0.00002847345],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936478,0.001787095,0.002596126,0.00006921044,0.0000206068,0.00008266147,0.001473778,0.00003190311,0.0002907795],"genre_scores_gemma":[0.9971533,0.0001013737,0.0006694534,0.0000281187,0.00001841553,0.00005426641,0.001907286,0.000008031449,0.00005978678],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0118636,"threshold_uncertainty_score":0.06274146,"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."}}