{"id":"W1485562483","doi":"10.1007/978-3-540-87879-7_3","title":"A Tool to Visualize Architectural Design Decisions","year":2008,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Software Engineering Research","field":"Computer Science","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Visualization; Decision analysis; Software engineering; Decision support system; Architecture; Software architecture; Business decision mapping; Key (lock); Data science; Software; Management science; Artificial intelligence; 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":[0.0008841374,0.002475033,0.0007937695,0.004104827,0.0008890688,0.003819747,0.001333413,0.001609864,0.03487577],"category_scores_gemma":[0.003444185,0.001306237,0.001288006,0.002638897,0.0004619934,0.00332747,0.002006815,0.002369251,0.008096318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005500058,"about_ca_system_score_gemma":0.001016591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003747476,"about_ca_topic_score_gemma":0.008680814,"domain_scores_codex":[0.9996388,0.00008076088,0.00004133376,0.00005184553,0.0001493394,0.00003795459],"domain_scores_gemma":[0.9979649,0.001203536,0.0001490767,0.0003062545,0.0002523405,0.0001239765],"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":[0.0003555972,0.0003783104,0.003662134,0.00158233,0.0001192256,0.001107332,0.002846473,0.03449981,0.02010457,0.06888282,0.216613,0.6498483],"study_design_scores_gemma":[0.0002442156,0.0001629589,0.002498014,0.0009352552,0.0001799056,0.001276483,0.0007288044,0.351728,0.02048135,0.08059317,0.5409388,0.0002330004],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01014016,0.0005908102,0.8700344,0.0005009006,0.000240303,0.000193886,0.006585011,0.08756202,0.02415242],"genre_scores_gemma":[0.05282057,0.001312814,0.9030712,0.0002388189,0.0000736864,0.0004889178,0.01145242,0.01080102,0.01974065],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03487577,"threshold_uncertainty_score":0.1166711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0410595540471483,"score_gpt":0.2970189504781998,"score_spread":0.2559593964310515,"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."}}