{"id":"W4402103762","doi":"10.1016/j.jaad.2024.07.195","title":"53225 Gammopathic Dermopathy of MGUS: Unraveling the Mysterious Gamut of Unrelated Scenarios","year":2024,"lang":"en","type":"article","venue":"Journal of the American Academy of Dermatology","topic":"Multiple Myeloma Research and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Columbia College","funders":"","keywords":"Medicine; Gamut; Dermatology; Artificial intelligence","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":[0.002312789,0.0009570563,0.001181399,0.00197403,0.001398815,0.00302851,0.001401101,0.003825983,0.003345598],"category_scores_gemma":[0.008102765,0.0005742307,0.0005080117,0.000785566,0.004087511,0.01160116,0.002506584,0.00480787,0.000950927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00100691,"about_ca_system_score_gemma":0.000946378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001002381,"about_ca_topic_score_gemma":0.001562799,"domain_scores_codex":[0.9989895,0.0003506373,0.0001177982,0.0001369041,0.0002535452,0.0001515912],"domain_scores_gemma":[0.9972454,0.001710992,0.000279165,0.000217462,0.0002824503,0.0002645275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001375145,0.0004020627,0.0749082,0.001792385,0.0002654769,0.3016061,0.002450999,0.001963469,0.01012752,0.17207,0.06822374,0.3648149],"study_design_scores_gemma":[0.0002539748,0.0003168288,0.02208067,0.003364098,0.0003148612,0.5655811,0.004610599,0.00941984,0.001757212,0.2484644,0.1435934,0.0002429878],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.2362208,0.4189517,0.0277947,0.2322119,0.007672695,0.0001984931,0.0004499127,0.0006145069,0.07588543],"genre_scores_gemma":[0.7920532,0.1265215,0.01494965,0.03466194,0.02772781,0.00007179643,0.0002327232,0.0001061252,0.003675257],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003825983,"threshold_uncertainty_score":0.01223135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02304565812086819,"score_gpt":0.3402503121589526,"score_spread":0.3172046540380845,"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."}}