{"id":"W1983791649","doi":"10.1016/s0164-1212(00)00054-6","title":"Using viewpoints to derive object-oriented frameworks: a case study in the web-based education domain","year":2000,"lang":"en","type":"article","venue":"Journal of Systems and Software","topic":"Model-Driven Software Engineering Techniques","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Viewpoints; Domain (mathematical analysis); Computer science; Object (grammar); Set (abstract data type); Domain model; Domain analysis; Object-oriented programming; Software engineering; Data mining; Information retrieval; Artificial intelligence; Programming language; Domain knowledge; Mathematics; Software; Software development","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":[0.006217158,0.0005636286,0.0004126028,0.001164498,0.00261786,0.002436902,0.001785578,0.002566466,0.00145554],"category_scores_gemma":[0.02135406,0.0005560049,0.000898006,0.001516817,0.001474451,0.002991054,0.002216354,0.002334376,0.0003286942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001241229,"about_ca_system_score_gemma":0.001975032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006774357,"about_ca_topic_score_gemma":0.02295062,"domain_scores_codex":[0.995464,0.002767263,0.0001739001,0.0002464335,0.00114009,0.0002083719],"domain_scores_gemma":[0.9832471,0.01314639,0.0004613383,0.001546869,0.001248245,0.0003501513],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0006986065,0.003185497,0.03248801,0.001144781,0.0001259359,0.01721361,0.1269191,0.06885204,0.02844641,0.1520095,0.005858282,0.5630582],"study_design_scores_gemma":[0.0006669767,0.001579473,0.0239735,0.001293798,0.0004373423,0.01069584,0.0960411,0.4965301,0.06835825,0.1479289,0.1520575,0.0004373302],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6886929,0.0003546096,0.2897983,0.001632611,0.00003885671,0.0004503665,0.0002222759,0.0003284598,0.01848171],"genre_scores_gemma":[0.676644,0.0003394837,0.3198377,0.00009725383,0.000007518988,0.0000895319,0.0003820481,0.000240149,0.002362476],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006774357,"threshold_uncertainty_score":0.03287983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.018688544644854,"score_gpt":0.2914465459258986,"score_spread":0.2727580012810446,"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."}}