{"id":"W1855562039","doi":"10.1109/isre.1999.777995","title":"Generating user interface prototypes from scenarios","year":2003,"lang":"en","type":"article","venue":"","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science; Unified Modeling Language; User interface; Interface (matter); Software engineering; Formal specification; Process (computing); Rapid prototyping; User interface design; Domain (mathematical analysis); Modeling language; Formal methods; User requirements document; Programming language; Human–computer interaction; Software; Engineering; Operating system","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":[0.003417848,0.001140367,0.0006914832,0.00160458,0.0005625147,0.001927361,0.001996661,0.002356129,0.009361177],"category_scores_gemma":[0.02123921,0.001060444,0.001303712,0.0007208713,0.0008047505,0.002496406,0.002385106,0.001148786,0.002199698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004832183,"about_ca_system_score_gemma":0.000717502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004764941,"about_ca_topic_score_gemma":0.0004806661,"domain_scores_codex":[0.9962763,0.002039194,0.0002271214,0.0003209284,0.0009636079,0.0001727789],"domain_scores_gemma":[0.9897308,0.006414486,0.000333095,0.001816749,0.001496572,0.0002083053],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001115639,0.0007845808,0.004318682,0.002131805,0.000173758,0.003340199,0.005319045,0.1343681,0.0829808,0.1864936,0.02046197,0.5585119],"study_design_scores_gemma":[0.0004681927,0.001295477,0.002119357,0.0004732298,0.000128023,0.00216721,0.001920432,0.6823754,0.1168494,0.08289605,0.1090802,0.0002270133],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03850991,0.0001239859,0.9457141,0.0001884256,0.00007165059,0.001246692,0.0002493305,0.004013981,0.009881867],"genre_scores_gemma":[0.1871725,0.0002215149,0.8054638,0.00009356863,0.00001900427,0.00149965,0.00140171,0.0005262982,0.003601997],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009361177,"threshold_uncertainty_score":0.03131628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03459984935898172,"score_gpt":0.2906286642448839,"score_spread":0.2560288148859021,"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."}}