{"id":"W4231732242","doi":"10.1109/mise.2017.10","title":"Specifying Evolving Requirements Models with TimedURN","year":2017,"lang":"en","type":"article","venue":"","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Fonds de recherche du Québec – Nature et technologies","keywords":"Computer science; Metamodeling; Notation; Snapshot (computer storage); Consistency (knowledge bases); Software engineering; Programming language; Artificial intelligence; Database","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003129478,0.0001151649,0.0001261811,0.00004588884,0.0003118381,0.0003247115,0.001397616,0.00002913082,0.00001066285],"category_scores_gemma":[0.0003042976,0.00008832372,0.00002205412,0.00004842601,0.00004833893,0.002413806,0.0004900224,0.00009586424,0.00002142339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004244381,"about_ca_system_score_gemma":0.00002406072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001129957,"about_ca_topic_score_gemma":0.000002897394,"domain_scores_codex":[0.9990976,0.00002093387,0.0001050319,0.0002986491,0.0002144971,0.0002632441],"domain_scores_gemma":[0.9984074,0.0001321434,0.00008822941,0.001254749,0.00005949576,0.00005797287],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002814265,0.00008966548,0.004513568,0.00009407927,0.0001504526,0.000277785,0.003511478,0.4318347,0.00528901,0.3094279,0.001740272,0.2430429],"study_design_scores_gemma":[0.0008706687,0.0001611621,0.009479737,0.0001839658,0.000009583643,0.0000505437,0.00005830727,0.7340511,0.012101,0.2415787,0.0005874194,0.0008678046],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001044365,0.00005198913,0.9849179,0.0001918616,0.0002514013,0.00007088819,1.517926e-7,0.0005535829,0.01291785],"genre_scores_gemma":[0.25663,0.000005936588,0.742408,0.00003501146,0.00003182788,0.000005057734,1.070267e-7,0.00000858002,0.0008755346],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3022164,"threshold_uncertainty_score":0.3601736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1435228653902333,"score_gpt":0.3327410579279261,"score_spread":0.1892181925376928,"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."}}