{"id":"W2398289424","doi":"","title":"On Temporally Annotating Goal Models.","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; York University","funders":"","keywords":"Computer science; Variety (cybernetics); Representation (politics); Dimension (graph theory); Focus (optics); Goal orientation; Causality (physics); Goal modeling; Artificial intelligence; Human–computer interaction; Data science; Psychology; Mathematics; Requirements 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":[0.008984117,0.001489692,0.0006570842,0.002775886,0.001969527,0.004400217,0.002493132,0.002198261,0.004853454],"category_scores_gemma":[0.03691194,0.001279611,0.002617127,0.002844081,0.002549902,0.01203229,0.006486898,0.00374995,0.001554812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002477763,"about_ca_system_score_gemma":0.003215482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01410762,"about_ca_topic_score_gemma":0.024517,"domain_scores_codex":[0.9932569,0.003382825,0.0006977529,0.001063738,0.001330186,0.0002685958],"domain_scores_gemma":[0.9715147,0.0149288,0.003110657,0.006564975,0.003321775,0.0005590987],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0006050427,0.0002845074,0.007706767,0.001768744,0.0001967468,0.0013876,0.01149231,0.1319965,0.009707334,0.6146821,0.02134752,0.1988247],"study_design_scores_gemma":[0.00006627815,0.0001141775,0.001091138,0.0009236266,0.0001641391,0.0004787215,0.001704165,0.4206666,0.01289633,0.4183004,0.1434575,0.0001369562],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009294013,0.0002153996,0.9774161,0.001034031,0.0001468161,0.0001775042,0.001698918,0.004690255,0.005326974],"genre_scores_gemma":[0.09649938,0.0003630816,0.8939695,0.0003849719,0.00004759945,0.0003545587,0.004304632,0.001121111,0.002955141],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01410762,"threshold_uncertainty_score":0.04751313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0299310694779547,"score_gpt":0.2814383008314444,"score_spread":0.2515072313534897,"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."}}