{"id":"W4398216296","doi":"10.1089/derm.2024.0075","title":"Future of Contact Dermatitis and Machine Learning","year":2024,"lang":"en","type":"letter","venue":"Dermatitis","topic":"Contact Dermatitis and Allergies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Medicine; Dermatology; Contact dermatitis; Immunology; Allergy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.009501012,0.0007515136,0.001849551,0.001474229,0.002531841,0.007305251,0.002310006,0.04397307,0.02184198],"category_scores_gemma":[0.03018012,0.0004775675,0.001602255,0.0008996642,0.007553244,0.009434035,0.002366292,0.03046462,0.008332637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005171829,"about_ca_system_score_gemma":0.00420529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004084819,"about_ca_topic_score_gemma":0.01340799,"domain_scores_codex":[0.9941297,0.002958907,0.0004424056,0.0004646574,0.001578265,0.0004260667],"domain_scores_gemma":[0.9406357,0.04575496,0.002008177,0.001445368,0.006169848,0.003985894],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007000687,0.00006767527,0.0003947895,0.0001735114,0.00002611559,0.0004825902,0.00006574649,0.00009203626,0.00008361373,0.0177014,0.9448132,0.03602932],"study_design_scores_gemma":[0.0001198555,0.00005314557,0.00065333,0.0006585489,0.00002520367,0.0008716471,0.0003414093,0.0009160754,0.00004710058,0.06078981,0.9354858,0.00003818499],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.00009747473,0.009645965,0.0001906225,0.977093,0.009780092,0.000004803446,0.00001893861,0.00001694177,0.003152344],"genre_scores_gemma":[0.004400145,0.0184795,0.001112397,0.8078695,0.1530033,0.00004518531,0.00003338346,0.00002399211,0.01503268],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.04397307,"threshold_uncertainty_score":0.07306868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01074073737323311,"score_gpt":0.2317203233729064,"score_spread":0.2209795859996733,"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."}}