{"id":"W2964427537","doi":"10.1109/mise.2019.00008","title":"Support for User Generated Evolutions of Goal Models","year":2019,"lang":"en","type":"article","venue":"","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Path (computing); Human–computer interaction; Space (punctuation)","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":[0.01413136,0.001662413,0.0007703945,0.00233371,0.0005588737,0.002849116,0.003465152,0.00213485,0.007869973],"category_scores_gemma":[0.08841442,0.001052807,0.001325123,0.0009516253,0.0007869397,0.00478827,0.002810753,0.00215113,0.001607816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001168932,"about_ca_system_score_gemma":0.001282737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002490175,"about_ca_topic_score_gemma":0.005755592,"domain_scores_codex":[0.9938868,0.00352887,0.0004054325,0.0006011294,0.001413867,0.0001639586],"domain_scores_gemma":[0.863848,0.1074402,0.002367401,0.01743936,0.008081489,0.0008235684],"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":[0.00255057,0.002897065,0.01870692,0.002566596,0.0004942705,0.00230927,0.01825881,0.1249145,0.04216366,0.0600405,0.03319786,0.6919001],"study_design_scores_gemma":[0.0005480603,0.0004460189,0.002644096,0.0006768252,0.0001636191,0.0006124495,0.0007432793,0.8559725,0.02950147,0.03387327,0.07458302,0.0002353185],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05764066,0.000203231,0.897039,0.0006070308,0.00005637615,0.000565809,0.0008684458,0.03611467,0.006904748],"genre_scores_gemma":[0.3403226,0.0002504424,0.6490529,0.0002561737,0.00002473329,0.0008089962,0.002749844,0.0038774,0.002656818],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01413136,"threshold_uncertainty_score":0.07473463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0499002940150844,"score_gpt":0.2957507989734157,"score_spread":0.2458505049583313,"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."}}