{"id":"W4386631886","doi":"10.1089/derm.2023.0148","title":"Demonstration of Convolutional Neural Networks to Determine Patch Test Reactivity","year":2023,"lang":"en","type":"article","venue":"Dermatitis","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Generalizability theory; Convolutional neural network; Medicine; Discriminative model; Patch test; Receiver operating characteristic; Binary classification; Artificial intelligence; Pattern recognition (psychology); Classifier (UML); Statistics; Machine learning; Computer science; Mathematics; Internal medicine; Support vector machine","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":[0.001062481,0.0005902363,0.0002526611,0.0006513076,0.0001091018,0.0003830262,0.0004031818,0.0003838867,0.001284583],"category_scores_gemma":[0.003497454,0.0002486209,0.0003643548,0.0002604294,0.0001755295,0.0003316376,0.0003238503,0.0004363329,0.0004020561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005837996,"about_ca_system_score_gemma":0.0004063172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006763371,"about_ca_topic_score_gemma":0.006355405,"domain_scores_codex":[0.9997157,0.0000816422,0.00001938085,0.00007222978,0.00006964345,0.00004134995],"domain_scores_gemma":[0.9986829,0.0006646861,0.0001777806,0.0001207936,0.0002937008,0.00006019064],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001623097,0.0005746693,0.3779556,0.0002693993,0.0004942021,0.00098487,0.0001285987,0.1605265,0.09586487,0.0008873777,0.005279503,0.3554113],"study_design_scores_gemma":[0.00001797626,0.0002428562,0.04101039,0.00002707571,0.00007092053,0.0004184733,0.00002091957,0.9326813,0.02430947,0.0005399759,0.0006460733,0.00001456546],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8732148,0.0009913628,0.119362,0.000553515,0.0001174113,0.0001155776,0.001017912,0.0009658244,0.00366157],"genre_scores_gemma":[0.9823513,0.0001334331,0.01654612,0.00005780862,0.00001739858,0.00002304135,0.0003363763,0.00002032696,0.0005142029],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006763371,"threshold_uncertainty_score":0.013448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0189472797521371,"score_gpt":0.2504671887619427,"score_spread":0.2315199090098056,"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."}}