{"id":"W2399877150","doi":"","title":"A Framework for Iterative, Interactive Analysis of Agent-Goal Models in Early Requirements Engineering.","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Domain (mathematical analysis); Requirements elicitation; Requirements analysis; Domain model; Process management; Management science; Domain knowledge; Software engineering; Engineering; Mathematics","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":[0.0437207,0.002614189,0.001189857,0.006612272,0.002986701,0.008398292,0.005422436,0.003566171,0.006432907],"category_scores_gemma":[0.06362128,0.002081088,0.003834312,0.002987504,0.006645672,0.009394201,0.008586682,0.005101263,0.001644354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005081975,"about_ca_system_score_gemma":0.007457879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009281097,"about_ca_topic_score_gemma":0.01505368,"domain_scores_codex":[0.9706916,0.02208539,0.001584774,0.001328753,0.003662116,0.0006473491],"domain_scores_gemma":[0.9453452,0.04198657,0.002062854,0.005034777,0.004436092,0.001134571],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009977705,0.0002573634,0.001143031,0.0009218823,0.0001705621,0.0007857179,0.01412254,0.058459,0.002622206,0.8073061,0.004612703,0.1094992],"study_design_scores_gemma":[0.0001079893,0.0001293864,0.0003444266,0.00136381,0.0001062282,0.0004294857,0.002933596,0.3583076,0.002841168,0.566497,0.06681401,0.0001253355],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0009431945,0.0001209109,0.9949028,0.0004669924,0.00001531085,0.0003984928,0.000062557,0.0006159793,0.002473676],"genre_scores_gemma":[0.01521619,0.00007259955,0.9833462,0.00005129134,0.000008713354,0.0006141879,0.000153056,0.00008029818,0.0004574377],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0437207,"threshold_uncertainty_score":0.2312199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05976770320483752,"score_gpt":0.3486201151871955,"score_spread":0.288852411982358,"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."}}