{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001832229,0.00005712657,0.00004912085,0.0000706971,0.00005676475,0.00006401529,0.000350359,0.00002248083,0.00001872495],"category_scores_gemma":[0.00003264863,0.00005154626,0.00003205764,0.0002023174,0.00001298864,0.0006408321,0.00008903559,0.00007349523,0.000295472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002306619,"about_ca_system_score_gemma":0.000007460614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004145195,"about_ca_topic_score_gemma":2.931164e-7,"domain_scores_codex":[0.9994373,6.178929e-7,0.00007874949,0.0001639144,0.0001123922,0.0002070617],"domain_scores_gemma":[0.9996904,0.00001497669,0.00003399488,0.00005393833,0.0001564614,0.00005020247],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001212988,0.00004526945,0.005796462,0.00001184263,0.00001231591,0.000008826068,0.002325421,4.568073e-8,0.2852492,0.6789228,0.01982598,0.007789715],"study_design_scores_gemma":[0.0002783463,0.0001291571,0.07959437,0.0000246941,0.00000456435,0.00005441443,0.0006826909,0.0007352459,0.8031895,0.005802571,0.1092147,0.0002897731],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1407412,0.0000387249,0.2205944,0.0008078501,0.0004519262,0.00008589507,2.428151e-7,0.00006640951,0.6372133],"genre_scores_gemma":[0.9941556,0.000001711711,0.004041419,0.0009806751,0.00007969856,0.000001697626,1.909983e-7,0.000003520105,0.0007355287],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8534144,"threshold_uncertainty_score":0.3797794,"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."}}