{"id":"W2020995541","doi":"10.1145/1268517.1268540","title":"Jump","year":2007,"lang":"en","type":"article","venue":"Proceedings","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Jump; Workspace; Window (computing); Set (abstract data type); Human–computer interaction; Filter (signal processing); Computer vision; Artificial intelligence; Robot; World Wide Web; Programming language","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0004775615,0.0005689629,0.000431562,0.0007984993,0.0006422712,0.00208039,0.00181276,0.0008956911,0.1054524],"category_scores_gemma":[0.001771491,0.0003395215,0.0003704521,0.000476489,0.0004137959,0.002627472,0.002380447,0.001089691,0.02744908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004587014,"about_ca_system_score_gemma":0.0007712285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002259871,"about_ca_topic_score_gemma":0.00307006,"domain_scores_codex":[0.9993918,0.00003662845,0.00002772195,0.0001293436,0.0003313701,0.00008309382],"domain_scores_gemma":[0.9993212,0.0001564068,0.0000263051,0.0001474996,0.0002484474,0.0001000862],"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":[0.001094556,0.0002028635,0.002062112,0.0008961408,0.00003309913,0.0004409217,0.0007548228,0.001517119,0.03328149,0.04577555,0.2995113,0.61443],"study_design_scores_gemma":[0.00009840527,0.0002453879,0.001869275,0.0001170774,0.00003709385,0.0005818153,0.0001975698,0.01324692,0.01727482,0.006513425,0.9597414,0.00007681467],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03070918,0.001578734,0.3190522,0.001784446,0.001618231,0.001015388,0.007648888,0.2074109,0.4291821],"genre_scores_gemma":[0.2076171,0.001779511,0.2730401,0.002914602,0.0005586107,0.0008633663,0.02799721,0.01873177,0.4664976],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1054524,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008178559054464126,"score_gpt":0.2496915009880738,"score_spread":0.2415129419336096,"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."}}