{"id":"W2171932879","doi":"10.1109/case.1992.200160","title":"A framework for capturing design rationale using granularity hierarchies","year":2003,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Guangdong Academy of Sciences","keywords":"Granularity; Schematic; Computer science; Usability; Notation; Component (thermodynamics); Software; Software engineering; Theoretical computer science; Programming language; Data mining; Human–computer interaction; Mathematics; Engineering","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":[0.01590003,0.002410924,0.001162407,0.008244055,0.003036707,0.01059419,0.003675574,0.003800609,0.006391663],"category_scores_gemma":[0.02655144,0.002499109,0.003319892,0.006504331,0.00630928,0.01793077,0.004589468,0.006121429,0.003257225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004036262,"about_ca_system_score_gemma":0.007268596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01342014,"about_ca_topic_score_gemma":0.01389776,"domain_scores_codex":[0.9867286,0.005775303,0.002123049,0.00144194,0.003345855,0.0005852158],"domain_scores_gemma":[0.985257,0.006845468,0.001524197,0.00351464,0.002278577,0.0005802049],"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":[0.00002688133,0.00004027983,0.0003699559,0.0003611802,0.00003512733,0.0002154003,0.002674855,0.005003093,0.001602519,0.9136415,0.004751137,0.0712781],"study_design_scores_gemma":[0.00004756033,0.00005756611,0.0002759626,0.0007834212,0.00007425266,0.0005300258,0.000784637,0.03737221,0.001917251,0.7877532,0.1702961,0.0001077982],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0006568992,0.0003265242,0.9928888,0.0005406514,0.00005297325,0.0001997069,0.0001956081,0.001050551,0.0040881],"genre_scores_gemma":[0.01307581,0.0003857174,0.9840059,0.0001517075,0.00003591969,0.0003492811,0.0003870672,0.0001340103,0.001474524],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01590003,"threshold_uncertainty_score":0.08408839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0966438150107016,"score_gpt":0.316822960167619,"score_spread":0.2201791451569174,"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."}}