{"id":"W4406499745","doi":"10.1109/cascon62161.2024.10837964","title":"Transformer-Based Text Highlighting for Medical Terms","year":2024,"lang":"en","type":"article","venue":"","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Transformer; Electrical engineering; Engineering; Voltage","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":[0.0008210756,0.00101424,0.0004523822,0.002012413,0.0002652331,0.0008297406,0.0008487137,0.0005751937,0.004594042],"category_scores_gemma":[0.004337072,0.0002715683,0.0007937885,0.001138975,0.000348432,0.002150936,0.001024704,0.001062448,0.003602004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005624477,"about_ca_system_score_gemma":0.001089708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002527769,"about_ca_topic_score_gemma":0.005499009,"domain_scores_codex":[0.9995611,0.0001168302,0.00003597085,0.0001562189,0.00008464899,0.0000452161],"domain_scores_gemma":[0.9978945,0.00126227,0.0002193368,0.0002702176,0.0002621757,0.00009148777],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001469681,0.0003127296,0.006804463,0.0008381018,0.0001106674,0.0006180989,0.0007273754,0.06351583,0.05729172,0.007693132,0.03581226,0.8248059],"study_design_scores_gemma":[0.00009420766,0.0004025782,0.003921776,0.00009023939,0.00009019775,0.000796854,0.0003050448,0.8999173,0.04819265,0.014521,0.03157904,0.00008910459],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1303059,0.00286512,0.7791095,0.0009959241,0.0004657964,0.0004678461,0.008222705,0.07144418,0.006123006],"genre_scores_gemma":[0.57126,0.0009829047,0.4063776,0.0004452421,0.0001799474,0.0002295421,0.01111141,0.001653398,0.007760012],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004594042,"threshold_uncertainty_score":0.01536858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01002233086307637,"score_gpt":0.2938376376285509,"score_spread":0.2838153067654746,"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."}}