{"id":"W4399326767","doi":"10.1111/cod.14595","title":"Diagnosing contact dermatitis using machine learning: A review","year":2024,"lang":"en","type":"review","venue":"Contact Dermatitis","topic":"Contact Dermatitis and Allergies","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; University of British Columbia; University of Waterloo; University of Toronto","funders":"","keywords":"Contact dermatitis; Patch test; Allergic contact dermatitis; Patch testing; Dermatology; Medicine; Test (biology); Medical physics; Machine learning; Computer science; Allergy; Immunology; Biology","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":[0.001798772,0.00118169,0.002569795,0.006226625,0.0003655217,0.001452085,0.001229979,0.001562,0.003695299],"category_scores_gemma":[0.005725776,0.0004877541,0.002341963,0.005549483,0.0004958192,0.001780379,0.0006925288,0.000965158,0.0007584665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001092612,"about_ca_system_score_gemma":0.002606784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002780679,"about_ca_topic_score_gemma":0.004136315,"domain_scores_codex":[0.9989607,0.0002583083,0.0003068025,0.0001391501,0.0002909123,0.00004409733],"domain_scores_gemma":[0.9948199,0.004069789,0.0005224242,0.00005167632,0.0004777098,0.00005852116],"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":[0.00009738914,0.00005542946,0.0007122,0.304428,0.0009034664,0.0002027852,0.000105005,0.0004414616,0.0002713988,0.0007493827,0.009566618,0.6824669],"study_design_scores_gemma":[0.00009394813,0.0004658304,0.007608329,0.5331194,0.008621962,0.004229118,0.0004239889,0.0007180335,0.0007584588,0.002430897,0.4414323,0.00009783127],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00007233323,0.9995666,0.00005071303,0.00008929594,0.00004838901,0.000008296956,0.00001299871,0.000002439894,0.0001489061],"genre_scores_gemma":[0.000771674,0.9989024,0.0001355691,0.00007799798,0.00004337327,0.000009501764,0.00001535728,7.250416e-7,0.00004328468],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006226625,"threshold_uncertainty_score":0.01236206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0581203646524969,"score_gpt":0.3506885163918979,"score_spread":0.292568151739401,"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."}}