{"id":"W4415478490","doi":"10.2196/75727","title":"Evaluating the Body Roundness Index as a Novel Digital Biomarker for Psoriasis Risk Prediction: Cross-Sectional Study","year":2025,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Psoriasis: Treatment and Pathogenesis","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Psoriasis; Biomarker; Roundness (object); Body mass index; Risk assessment; Precision medicine; Personalized medicine","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":[0.006153706,0.0004555506,0.0004259009,0.000874421,0.000501773,0.0009313071,0.0004809503,0.0006121122,0.001116781],"category_scores_gemma":[0.007073947,0.0004276665,0.0006657775,0.0009193679,0.000365845,0.000711783,0.0005819231,0.0009515397,0.0004340763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00026792,"about_ca_system_score_gemma":0.0004452012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002315758,"about_ca_topic_score_gemma":0.003234381,"domain_scores_codex":[0.9982608,0.0008201387,0.0001303625,0.0004024706,0.0002983654,0.00008798493],"domain_scores_gemma":[0.9942709,0.001570911,0.001709044,0.0007374035,0.001279912,0.0004317221],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001364596,0.0000890056,0.9980989,0.00001192157,0.0001477412,0.00001234487,0.00005976329,0.00004129631,0.0001435506,0.00001875519,0.00006392866,0.001176395],"study_design_scores_gemma":[0.00002847964,0.0009304129,0.9964461,0.00001958432,0.000273535,0.0002076904,0.0002233275,0.001183702,0.0001862478,0.00005568363,0.0004357135,0.000009636718],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971547,0.0004741444,0.001178534,0.00004729579,0.00001687503,0.00007999443,0.0004245882,0.000009084733,0.0006147484],"genre_scores_gemma":[0.9981065,0.0001304566,0.00111942,0.00005117219,0.00001742722,0.00006177337,0.0003405224,0.000003670558,0.0001690367],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006153706,"threshold_uncertainty_score":0.03254426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04361475041346888,"score_gpt":0.3695569001968603,"score_spread":0.3259421497833914,"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."}}