{"id":"W2158269718","doi":"10.1145/1731903.1731926","title":"Getting practical with interactive tabletop displays","year":2009,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Affordance; Computer science; Human–computer interaction; Visualization; Multi-touch; Face (sociological concept); Information visualization; Multimedia; 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":[0.0001091109,0.0001569606,0.0001449916,0.00007899594,0.0001249139,0.0001941981,0.0003564419,0.0000364613,0.000105765],"category_scores_gemma":[0.00008417256,0.000110507,0.00005111989,0.0002502119,0.00002614199,0.002260237,0.0000849569,0.0002593257,0.0002453463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005617738,"about_ca_system_score_gemma":0.00006593484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001802327,"about_ca_topic_score_gemma":0.000003674828,"domain_scores_codex":[0.9988544,0.00004834283,0.0001455549,0.0003844653,0.0002244684,0.0003427794],"domain_scores_gemma":[0.9991068,0.0001906656,0.00009036697,0.0003390267,0.0001776416,0.00009546365],"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":[0.0002609573,0.0006276215,0.0007586855,0.000007387625,0.0001179517,0.0004727634,0.002685955,0.00004788485,0.1231445,0.8366101,0.02286393,0.01240219],"study_design_scores_gemma":[0.003946484,0.006641883,0.1462554,0.0003959909,0.0001114586,0.002573732,0.004773532,0.1133731,0.6499237,0.01439201,0.05452773,0.003084936],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009692358,0.000007671696,0.8111629,0.007299497,0.0001376588,0.0001164567,7.009417e-7,0.00004740522,0.1715354],"genre_scores_gemma":[0.9507287,0.000001765762,0.04235375,0.005519258,0.00006347865,0.000005061167,0.00000242652,0.000005729903,0.001319869],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9410363,"threshold_uncertainty_score":0.4506347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01037285860957599,"score_gpt":0.282971018394398,"score_spread":0.272598159784822,"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."}}