{"id":"W4377094752","doi":"10.1111/ijd.16714","title":"Detection of novel therapies using a <scp>multi‐national</scp>, <scp>multi‐institutional</scp> registry of cutaneous <scp>immune‐related</scp> adverse events and management","year":2023,"lang":"en","type":"article","venue":"International Journal of Dermatology","topic":"Cancer Immunotherapy and Biomarkers","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre","funders":"National Psoriasis Foundation; Genentech; Amryt Pharma; Incyte; National Cancer Institute; Pelotonia; National Comprehensive Cancer Network; InflaRx; Biogen; National Center for Advancing Translational Sciences; LUNGevity Foundation; Eli Lilly and Company; Pfizer","keywords":"Medicine; Adverse effect; Rituximab; Dermatology; Dupilumab; Psoriasis; Immune dysregulation; Disease; Internal medicine; Atopic dermatitis","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003285001,0.0002854439,0.0005989768,0.001028155,0.0001127205,0.00001584029,0.0003884794,0.0002576635,0.000008295605],"category_scores_gemma":[0.0008467241,0.000255757,0.000381481,0.0004319239,0.0003791894,0.0002613061,0.0001250336,0.0003592588,0.000008084318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002958693,"about_ca_system_score_gemma":0.0002768175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005325959,"about_ca_topic_score_gemma":0.00001732089,"domain_scores_codex":[0.9969659,0.00009742409,0.001371611,0.0002736555,0.0009876067,0.0003038024],"domain_scores_gemma":[0.9964762,0.000717246,0.001483211,0.0001927318,0.00102462,0.0001059599],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0008676531,0.003293652,0.09126104,0.001241595,0.01916037,0.005606376,0.007368438,0.00680673,0.8511173,0.003243078,0.002105707,0.007928119],"study_design_scores_gemma":[0.05701515,0.001059342,0.3753522,0.00505653,0.001704727,0.241758,0.01799389,0.05527223,0.1662516,0.001973359,0.07624435,0.0003185978],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.98871,0.002338053,0.005961793,0.0004605817,0.001523863,0.0003308085,0.0000723421,0.00003760233,0.0005649619],"genre_scores_gemma":[0.9923473,0.00294671,0.00338419,0.0001562153,0.0001069279,0.00001006975,0.00004146312,0.0000335398,0.0009735972],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6848656,"threshold_uncertainty_score":0.9999894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02781674628959395,"score_gpt":0.3049459355497978,"score_spread":0.2771291892602039,"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."}}