{"id":"W4391096329","doi":"10.1109/bigdata59044.2023.10386192","title":"Anaphoric Ambiguity Resolution in Software Requirement Texts","year":2023,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Ambiguity; Computer science; Baseline (sea); Requirements engineering; Transformer; Artificial intelligence; Software; Architecture; Natural language processing; Software engineering; Engineering; Programming language","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":[0.00626489,0.0006187747,0.0006402684,0.003329631,0.0006382889,0.001229445,0.001194666,0.001525518,0.001202283],"category_scores_gemma":[0.03325364,0.0003524534,0.0008754235,0.002556998,0.000592945,0.003322886,0.001150018,0.001403589,0.0007471064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001358279,"about_ca_system_score_gemma":0.0009044997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005024705,"about_ca_topic_score_gemma":0.004336459,"domain_scores_codex":[0.9955488,0.002507059,0.0003516563,0.0008221701,0.0006557807,0.0001144718],"domain_scores_gemma":[0.9711963,0.02390295,0.001354739,0.001395981,0.001963479,0.0001865806],"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":[0.001032376,0.000810335,0.01976173,0.001562196,0.0001518626,0.0009447985,0.001809812,0.3097663,0.01596311,0.01314697,0.01586239,0.6191882],"study_design_scores_gemma":[0.0000513186,0.00007324646,0.002916352,0.00003408412,0.00002483359,0.0002084897,0.0002300818,0.9778205,0.008206517,0.007501815,0.002911843,0.00002096088],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4119664,0.002429761,0.5676074,0.0019771,0.0001271067,0.000624528,0.003909693,0.006593248,0.004764836],"genre_scores_gemma":[0.7642658,0.0004559573,0.2263925,0.0002626233,0.0000693223,0.0001715706,0.006988143,0.0001149328,0.001279187],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00626489,"threshold_uncertainty_score":0.03313231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03787554981707406,"score_gpt":0.2970894066352847,"score_spread":0.2592138568182106,"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."}}