{"id":"W6979350044","doi":"","title":"VLM Models and Automated Grading of Atopic Dermatitis","year":2025,"lang":"en","type":"article","venue":"ArXiv.org","topic":"Dermatology and Skin Diseases","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Computer Research Institute of Montréal","funders":"Université de Montréal; Ministère de l'Économie, de l’Innovation et des Exportations du Québec","keywords":"Atopic dermatitis; Grading (engineering); Task (project management); Grading scale; Set (abstract data type); Test set","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0009280143,0.000750501,0.0004758505,0.001193612,0.0001850173,0.0009330986,0.0006470534,0.00104115,0.001655871],"category_scores_gemma":[0.002579405,0.000252442,0.0007717895,0.0004331994,0.0002204047,0.0005808984,0.0005605841,0.0008107673,0.000883133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001101275,"about_ca_system_score_gemma":0.0004531138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007852329,"about_ca_topic_score_gemma":0.006762656,"domain_scores_codex":[0.9996357,0.000111944,0.00001984023,0.0001000774,0.00008015201,0.00005230535],"domain_scores_gemma":[0.9994331,0.0003070516,0.00006032593,0.00005252476,0.0001149482,0.00003203532],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0005318681,0.0002511181,0.006810684,0.000164102,0.0001805717,0.0001819784,0.0001003136,0.505541,0.01934563,0.0025043,0.006192399,0.4581961],"study_design_scores_gemma":[0.000007987191,0.00003453329,0.001076558,0.00001123886,0.0000103265,0.00003802054,0.00001264293,0.9950147,0.002311971,0.001079628,0.0003960524,0.000006325153],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.539156,0.005141017,0.4294099,0.002243497,0.0004307683,0.0002309804,0.002280034,0.011728,0.00937977],"genre_scores_gemma":[0.9267282,0.0003408153,0.0680723,0.0002213082,0.00005434616,0.00005159322,0.001250917,0.0001081996,0.003172279],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007852329,"threshold_uncertainty_score":0.0156132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02657647842238352,"score_gpt":0.2937522148040577,"score_spread":0.2671757363816742,"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."}}