{"id":"W4406612097","doi":"10.1109/smc54092.2024.10831147","title":"TransUAAE-CapGen: Caption Generation from Histopathological Patches through Transformer and UNet-Based Adversarial Autoencoder","year":2024,"lang":"en","type":"article","venue":"","topic":"Multimodal Machine Learning Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Autoencoder; Adversarial system; Computer science; Transformer; Artificial intelligence; Computer vision; Deep learning; Engineering; Electrical engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001674585,0.0001576408,0.0001331287,0.00004965431,0.0001434398,0.0001955995,0.0002261257,0.0001223261,0.0001332948],"category_scores_gemma":[0.00001075469,0.0001281405,0.00006854185,0.0001982141,0.00006217045,0.0004266405,0.00001471977,0.0002096868,0.0000704743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000562129,"about_ca_system_score_gemma":0.00007007046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001648621,"about_ca_topic_score_gemma":0.0001150346,"domain_scores_codex":[0.9987277,0.00008959488,0.0002181364,0.000587887,0.0002018999,0.0001747967],"domain_scores_gemma":[0.9995172,0.0001061945,0.00002273635,0.0002677654,0.000024948,0.00006118319],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004039839,0.0003082657,0.001826915,0.00006158943,0.00006636736,0.00005502818,0.01259723,0.0296434,0.2111497,0.4922898,0.002411601,0.2495497],"study_design_scores_gemma":[0.0003215361,0.00005758418,0.006706257,0.000008935163,0.00002088672,0.000005055588,0.00001281335,0.9780297,0.002150517,0.004596334,0.007905999,0.0001843701],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1053025,0.0003004066,0.8848956,0.007419185,0.0003031626,0.0002021525,0.0000125928,0.0005722609,0.0009922498],"genre_scores_gemma":[0.7631743,0.00001398961,0.2360716,0.0003874401,0.0001521659,0.00005163208,0.00005099286,0.000009300463,0.00008862604],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9483863,"threshold_uncertainty_score":0.5225416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03054306869164053,"score_gpt":0.2707908432942862,"score_spread":0.2402477746026456,"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."}}