{"id":"W4414078562","doi":"10.1177/17103568251376647","title":"Artificial Intelligence in Contact Dermatitis: Current and Future Perspectives","year":2025,"lang":"en","type":"review","venue":"Dermatitis","topic":"Contact Dermatitis and Allergies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Interpretability; Convolutional neural network; Transformative learning; Allergic contact dermatitis; Patch test; Test (biology); Gold standard (test); Deep learning","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":[0.001151515,0.0007768765,0.00129769,0.00180463,0.000277983,0.001844694,0.0007768673,0.001823878,0.005072899],"category_scores_gemma":[0.001803153,0.0002633596,0.00083349,0.00212986,0.0007706768,0.002012254,0.0007530269,0.002580249,0.001647389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007368297,"about_ca_system_score_gemma":0.001455854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001067226,"about_ca_topic_score_gemma":0.001591245,"domain_scores_codex":[0.999685,0.00009242434,0.00004620202,0.00004990182,0.00009347958,0.00003296557],"domain_scores_gemma":[0.9982817,0.001228586,0.0001051402,0.0000365751,0.0002788834,0.00006922014],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007394699,0.00009004994,0.000260975,0.02273171,0.0001287924,0.0001518488,0.0001164375,0.0005459216,0.0004684585,0.009375247,0.02296373,0.9430928],"study_design_scores_gemma":[0.00003214293,0.0001693764,0.001506493,0.01732678,0.0002381937,0.001044485,0.0002052604,0.0004606645,0.0002679179,0.01430672,0.964397,0.00004499681],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00009515158,0.9978099,0.0001598085,0.0008887387,0.0002442007,0.00000325697,0.000007723985,0.000007446127,0.0007838171],"genre_scores_gemma":[0.0007392004,0.9981393,0.0002003034,0.0003908215,0.0002817909,0.000005362794,0.00001109626,0.000001623516,0.0002305706],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005072899,"threshold_uncertainty_score":0.01697052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03022097398004465,"score_gpt":0.3360969107725803,"score_spread":0.3058759367925357,"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."}}