{"id":"W2170064244","doi":"10.1109/mcg.2006.109","title":"Informing the Design of Direct-Touch Tabletops","year":2006,"lang":"en","type":"review","venue":"IEEE Computer Graphics and Applications","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":113,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of Toronto","funders":"","keywords":"Computer science; Human–computer interaction; Variety (cybernetics); Table (database); Metaphor; Interface (matter); User interface; Multi-touch; Multimedia; Artificial intelligence; Database; Operating system","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":[0.0001969713,0.0002697636,0.0005935714,0.0002075909,0.0002647616,0.0001444408,0.001105616,0.0001213137,0.000001186003],"category_scores_gemma":[0.000002142428,0.0001807452,0.0002471258,0.0006986951,0.0001200233,0.0001878701,0.0002036534,0.0002781704,0.00001046891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001511675,"about_ca_system_score_gemma":0.0001025552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002874512,"about_ca_topic_score_gemma":0.000001368377,"domain_scores_codex":[0.9987115,0.00007901761,0.0004584466,0.0003761954,0.000163191,0.0002116442],"domain_scores_gemma":[0.9981199,0.0005707257,0.0003944121,0.000704721,0.0001648247,0.00004543657],"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":[4.186757e-7,0.00006204606,0.000001267631,0.0008731735,0.0001163023,0.000001160252,0.00006526812,0.00004067781,0.000003590923,0.2467128,0.006128711,0.7459946],"study_design_scores_gemma":[0.0000418291,0.00002760947,0.000005207592,0.0004294767,0.0001031885,0.00002275737,0.000001617832,0.005166689,0.00001508894,0.001147527,0.9928323,0.0002067149],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[9.166584e-8,0.3930838,0.6056963,0.00001948075,0.0001051769,0.0005416975,0.00001446424,0.00001118487,0.0005277098],"genre_scores_gemma":[0.00004583446,0.9948674,0.004156649,0.0001559367,0.000227698,0.0004203972,0.00002591933,0.00001588203,0.00008431882],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.9867036,"threshold_uncertainty_score":0.7370574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04107173028572503,"score_gpt":0.3000411187879463,"score_spread":0.2589693885022212,"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."}}