{"id":"W2941483677","doi":"10.1145/3290605.3300476","title":"An Evaluation of Touch Input at the Edge of a Table","year":2019,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation; Ontario Research Foundation","keywords":"Table (database); Ridge; Computer science; Enhanced Data Rates for GSM Evolution; Face (sociological concept); Tapping; Computer graphics (images); Computer vision; Geology; Database; Physics; Acoustics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.000784433,0.0009800956,0.0007799192,0.0004840693,0.0004087936,0.001340905,0.001031725,0.0008909319,0.009914976],"category_scores_gemma":[0.008738686,0.0003208738,0.0004341926,0.0004039087,0.000298044,0.0009601383,0.0008594175,0.0005422416,0.0009256225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003142054,"about_ca_system_score_gemma":0.0002449959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001698434,"about_ca_topic_score_gemma":0.002101219,"domain_scores_codex":[0.9987521,0.0003658535,0.00008979758,0.0002087582,0.0004476629,0.0001358407],"domain_scores_gemma":[0.990365,0.007894551,0.0002104708,0.0003174757,0.0007704085,0.0004420218],"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":[0.01736784,0.003780639,0.01927461,0.005762329,0.0003572986,0.003249255,0.004668594,0.0257014,0.5472798,0.000803839,0.005067532,0.3666869],"study_design_scores_gemma":[0.001565696,0.05648896,0.2662658,0.0008222235,0.0007936468,0.003631264,0.00548713,0.3520244,0.2953222,0.0009749583,0.01628334,0.0003403161],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9827095,0.0003038422,0.01036164,0.00007980263,0.00005549174,0.0002438546,0.0004106033,0.0009868939,0.004848251],"genre_scores_gemma":[0.9743405,0.0002635209,0.02058194,0.00009243133,0.000027256,0.0001197183,0.0006838523,0.0001977963,0.003692984],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009914976,"threshold_uncertainty_score":0.03316885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02448176115677697,"score_gpt":0.304788072271968,"score_spread":0.280306311115191,"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."}}