{"id":"W1578450297","doi":"10.1007/978-3-642-23774-4_27","title":"Supporting Window Switching with Spatially Consistent Thumbnail Zones: Design and Evaluation","year":2011,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Personal Information Management and User Behavior","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Thumbnail; Window (computing); Computer science; Predictability; Sliding window protocol; Key (lock); Interface (matter); Human–computer interaction; Operating system; 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":[],"consensus_categories":[],"category_scores_codex":[0.008052346,0.0003533674,0.0004172629,0.0009159802,0.0003367967,0.0009502047,0.001073971,0.0001429182,0.0002463876],"category_scores_gemma":[0.0003556844,0.0002437417,0.00006820771,0.0003085475,0.0004284166,0.0009836841,0.0004216204,0.0003636213,0.00005486645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001246598,"about_ca_system_score_gemma":0.0004782761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002832844,"about_ca_topic_score_gemma":0.0001613273,"domain_scores_codex":[0.9949552,0.00008855548,0.0008144791,0.0009080038,0.002833541,0.0004001883],"domain_scores_gemma":[0.9969582,0.0008221132,0.0007727716,0.0006267973,0.0006905696,0.0001295486],"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":[0.00003422267,0.00001333795,0.001464144,0.00001075342,0.00001126854,0.00002204712,0.003880714,0.02101945,0.00003876938,0.001277416,0.00002365721,0.9722042],"study_design_scores_gemma":[0.001013281,0.000517331,0.007599247,0.0005393805,0.0001295784,0.00009353984,0.00001598685,0.7712367,0.0003722949,0.2164018,0.0009928606,0.001088112],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006193752,0.0001052781,0.9889783,0.0002612693,0.0003826017,0.0007936838,0.000002018957,0.00003924507,0.003243798],"genre_scores_gemma":[0.8321572,0.00001263733,0.1659745,0.001038663,0.0001407433,0.00001825601,0.00000554942,0.0000242285,0.0006282645],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9711161,"threshold_uncertainty_score":0.9939497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2146840562080096,"score_gpt":0.3862218470545488,"score_spread":0.1715377908465392,"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."}}