{"id":"W6922375152","doi":"10.11575/prism/31504","title":"Integrating 2D Mouse Emulation with 3D Manipulation for Visualizations on a Multi-Touch Table","year":2010,"lang":"en","type":"other","venue":"PRISM (University of Calgary)","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Emulation; Table (database); Visualization; Data visualization; Set (abstract data type); Key (lock); Software; Computer graphics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000448341,0.0009319648,0.0004414625,0.000456483,0.0002489791,0.001166463,0.001276267,0.0007978182,0.02488217],"category_scores_gemma":[0.001873545,0.0004330036,0.00057046,0.0002805729,0.0002980599,0.001041324,0.002316173,0.0005584512,0.003341119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000159368,"about_ca_system_score_gemma":0.0002428866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005948543,"about_ca_topic_score_gemma":0.00110461,"domain_scores_codex":[0.9996334,0.00008695547,0.00002545524,0.00007117141,0.000132884,0.00005006426],"domain_scores_gemma":[0.9990376,0.0004150855,0.00005017314,0.000251967,0.0001597781,0.00008542221],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001258991,0.000415108,0.001655914,0.0003521432,0.0001036666,0.000803899,0.0006544219,0.01001085,0.6254068,0.006892832,0.01314725,0.3392982],"study_design_scores_gemma":[0.0006169737,0.001957245,0.01191964,0.0002297016,0.0002143177,0.002928641,0.0002275249,0.3397591,0.5228125,0.005663063,0.113384,0.0002871829],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05879627,0.0003179343,0.9115899,0.0002133303,0.0002593868,0.0002136043,0.0004199193,0.01559676,0.012593],"genre_scores_gemma":[0.4070882,0.0004083475,0.5666363,0.000269799,0.00009109491,0.0003511695,0.0005708628,0.002434484,0.0221498],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02488217,"threshold_uncertainty_score":0.08323914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01652173061228136,"score_gpt":0.2442609560996183,"score_spread":0.2277392254873369,"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."}}