{"id":"W1526543055","doi":"10.1007/978-3-540-70816-2_8","title":"Pattern-Based UI Design: Adding Rigor with User and Context Variables","year":2007,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Persona Design and Applications","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"User interface design; Computer science; Leverage (statistics); User interface; Human–computer interaction; User experience design; Context (archaeology); Process (computing); Design process; Software engineering; Programming language; Engineering; Work in process; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008606237,0.0004852553,0.000415987,0.0005952335,0.0003361196,0.0006248241,0.001873202,0.0002430845,0.00001830469],"category_scores_gemma":[0.00002690942,0.0003964235,0.00005427852,0.0005365667,0.0006997174,0.0003986646,0.0003734818,0.000542995,0.00001963757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00016169,"about_ca_system_score_gemma":0.0005158017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004414103,"about_ca_topic_score_gemma":0.00009130546,"domain_scores_codex":[0.9968929,0.00003388627,0.0003346338,0.001420435,0.0007116988,0.0006063923],"domain_scores_gemma":[0.997425,0.0009600068,0.0002129981,0.0009961474,0.0001838231,0.0002220492],"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":[0.00001256021,0.00003547423,0.0001713757,0.00003348253,0.00001511068,0.0001029572,0.0004466695,0.007313285,0.0002696665,0.0222705,0.00005698463,0.969272],"study_design_scores_gemma":[0.0008497799,0.0003780175,0.0002865811,0.0008405084,0.00002281036,0.0001462627,5.723203e-7,0.9670289,0.003203148,0.0188487,0.007110766,0.001283924],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00003320927,0.0003712923,0.9973442,0.0004806218,0.0002161578,0.000492857,0.000006863446,0.0001556596,0.0008991217],"genre_scores_gemma":[0.2059796,0.00001627999,0.7894067,0.004164383,0.0001857414,0.00002398809,0.000004032836,0.00003412869,0.0001851901],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.967988,"threshold_uncertainty_score":0.9998488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03408496952432746,"score_gpt":0.2489696623874691,"score_spread":0.2148846928631417,"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."}}