{"id":"W2043576754","doi":"10.1109/3dui.2010.5444718","title":"Contact sensing and interaction techniques for a distributed, multimodal floor display","year":2010,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Ministère du Développement Économique, de l’Innovation et de l’Exportation","keywords":"Usability; Interface (matter); Computer science; Multi-touch; Human–computer interaction; Set (abstract data type); Augmented reality; Computer graphics (images)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001045875,0.000113098,0.000111794,0.00005948991,0.0001241966,0.0001538791,0.0001535357,0.00005818559,0.00001347367],"category_scores_gemma":[0.00007005207,0.00009254058,0.00005768624,0.00006149294,0.00002283208,0.0007617716,0.00006761155,0.0001706823,0.00001158858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001912474,"about_ca_system_score_gemma":0.00001442147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001624977,"about_ca_topic_score_gemma":0.00009437271,"domain_scores_codex":[0.9993404,0.00001474651,0.0001253189,0.0002700353,0.00006673059,0.0001828379],"domain_scores_gemma":[0.9994042,0.0001336264,0.00005757997,0.0001919007,0.0001541964,0.00005850602],"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":[0.00004819193,0.00004014224,0.0001977588,0.00001017594,0.00002073002,0.000004299362,0.0003018395,2.843797e-7,0.9468406,0.01628789,0.00113343,0.0351146],"study_design_scores_gemma":[0.0004745662,0.0002105978,0.006704916,0.000028768,0.00001209957,0.0001150647,0.0001950281,0.1815709,0.7927411,0.0006598643,0.0170161,0.0002710689],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.152805,0.000002400383,0.8450832,0.0004982426,0.0004676613,0.0002235788,0.0000175584,0.00004872676,0.0008536406],"genre_scores_gemma":[0.948665,0.000001824814,0.05078513,0.0003430017,0.00008030658,0.00001137391,0.00001925694,0.000006302975,0.00008778186],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.79586,"threshold_uncertainty_score":0.3773696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009243808794159349,"score_gpt":0.2794543180891851,"score_spread":0.2702105092950257,"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."}}