{"id":"W2400082606","doi":"","title":"User Task Adaptation in Multimedia Presentations.","year":2013,"lang":"en","type":"article","venue":"International Conference on User Modeling, Adaptation, and Personalization","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland; University of British Columbia","funders":"","keywords":"Computer science; Presentation (obstetrics); Graphics; Multimedia; Adaptation (eye); Visualization; Reading (process); Scrolling; Set (abstract data type); Artificial intelligence; Linguistics; Computer graphics (images)","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":[0.00650708,0.00224996,0.00107204,0.001603186,0.0006045661,0.003934263,0.003084717,0.002527008,0.04225045],"category_scores_gemma":[0.05681735,0.0006904799,0.001095332,0.001009605,0.0005107241,0.004657068,0.005315799,0.001152547,0.02058684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006167414,"about_ca_system_score_gemma":0.0005551727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000729837,"about_ca_topic_score_gemma":0.0007146823,"domain_scores_codex":[0.9953606,0.002317868,0.0003148516,0.0008591338,0.0008555478,0.0002922022],"domain_scores_gemma":[0.9716696,0.01998143,0.00082661,0.00350256,0.002842007,0.001177858],"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":[0.004341465,0.001652808,0.005681383,0.004622461,0.0002642758,0.001337025,0.008953503,0.003646319,0.04980624,0.00356854,0.105332,0.8107941],"study_design_scores_gemma":[0.002328954,0.005126661,0.03774968,0.003195183,0.001091138,0.005641721,0.01135404,0.126568,0.07762233,0.06779242,0.6599736,0.001556232],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.174954,0.006681601,0.5922034,0.002624748,0.002404094,0.008847085,0.006569174,0.1132121,0.09250394],"genre_scores_gemma":[0.57193,0.002917399,0.3463488,0.003354932,0.001046254,0.01455768,0.007423406,0.01034488,0.04207668],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04225045,"threshold_uncertainty_score":0.1413419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09195351315500712,"score_gpt":0.3219189628515722,"score_spread":0.2299654496965651,"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."}}