{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007160914,0.0002321853,0.0004697279,0.002702978,0.00046598,0.001342625,0.0007196838,0.0004131233,0.003722034],"category_scores_gemma":[0.01258961,0.000184812,0.0006773701,0.004135494,0.0003559384,0.0008622857,0.001069295,0.0008059124,0.0009755237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009624372,"about_ca_system_score_gemma":0.003510251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002248798,"about_ca_topic_score_gemma":0.00304842,"domain_scores_codex":[0.991221,0.001773022,0.002640231,0.001407332,0.002522562,0.0004358694],"domain_scores_gemma":[0.9366778,0.007821637,0.04313179,0.004718278,0.005551613,0.002098936],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004871985,0.0001164721,0.9541002,0.00101035,0.0002917136,0.0003769147,0.0001450174,0.0002537588,0.001184837,0.0003469688,0.009643309,0.03204319],"study_design_scores_gemma":[0.0001555306,0.0005244642,0.9609804,0.0006630149,0.0004570061,0.003493272,0.0003155976,0.000769943,0.003587558,0.0002122572,0.02881171,0.00002921007],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8862453,0.01302982,0.007135997,0.001301305,0.0001478966,0.001934155,0.06750805,0.0005799729,0.02211743],"genre_scores_gemma":[0.9492029,0.003296409,0.0060375,0.0009025921,0.0001887076,0.001005827,0.03841,0.0001010634,0.0008549647],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007160914,"threshold_uncertainty_score":0.037871,"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."}}