{"id":"W1983743287","doi":"10.1109/ichit.2006.99","title":"Consumer Modelling in Support of Interface Design","year":2006,"lang":"en","type":"article","venue":"","topic":"Rough Sets and Fuzzy Logic","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Computer science; Personalization; Human–computer interaction; Interface (matter); Focus (optics); User interface; Set (abstract data type); Task (project management); User interface design; Decision support system; User experience design; World Wide Web; Artificial intelligence; Engineering; Systems 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":[0.005714942,0.0007964346,0.0007022819,0.001304965,0.0008908411,0.004404876,0.002246926,0.002416936,0.009078708],"category_scores_gemma":[0.02405571,0.0007189942,0.001257823,0.001176637,0.001451734,0.004488845,0.001763,0.0014692,0.002135653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001692887,"about_ca_system_score_gemma":0.001418091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004760917,"about_ca_topic_score_gemma":0.0028014,"domain_scores_codex":[0.9929423,0.004228839,0.000323099,0.0003828566,0.001943131,0.0001797602],"domain_scores_gemma":[0.9898879,0.007010126,0.0003531087,0.001139421,0.001479966,0.0001294914],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007585094,0.0003605307,0.005891921,0.001148832,0.0001447551,0.0007633305,0.01398937,0.1801406,0.01231562,0.527791,0.01172611,0.2449694],"study_design_scores_gemma":[0.0001144245,0.0002470612,0.001313967,0.0002362236,0.00009534718,0.0003475599,0.001275716,0.7870246,0.005241458,0.1464431,0.05755989,0.0001006708],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.026769,0.0004540148,0.9453575,0.001828162,0.00006729118,0.0003580653,0.0001712843,0.0008731007,0.02412148],"genre_scores_gemma":[0.4351739,0.0006600333,0.5535868,0.0002335455,0.00003355592,0.0006404186,0.0004025503,0.0001898857,0.009079353],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009078708,"threshold_uncertainty_score":0.03037131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04135919224568686,"score_gpt":0.2435691578066843,"score_spread":0.2022099655609974,"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."}}