{"id":"W2044109592","doi":"10.1145/1027933.1027980","title":"Visual touchpad","year":2004,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":212,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"University of Toronto","keywords":"Touchpad; Computer science; Computer vision; Gesture; Point (geometry); Computer graphics (images); Interactive kiosk; Artificial intelligence; Human–computer interaction; Computer hardware","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":[0.0003907942,0.001652225,0.0007030013,0.00111593,0.0003754397,0.002046071,0.002590504,0.001348446,0.119944],"category_scores_gemma":[0.002280111,0.0006826834,0.0006838154,0.000559553,0.0002855351,0.002200234,0.00318359,0.001059728,0.03795242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002869173,"about_ca_system_score_gemma":0.000388151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006694353,"about_ca_topic_score_gemma":0.0009176605,"domain_scores_codex":[0.9993141,0.0000534074,0.00004841587,0.0001582714,0.0003264659,0.00009948655],"domain_scores_gemma":[0.9993808,0.0001845477,0.00003612716,0.0001575742,0.0001391164,0.0001017431],"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":[0.001483477,0.0002617701,0.0009056826,0.001607301,0.0001010621,0.0007236007,0.0003477908,0.001538523,0.06500591,0.01773824,0.2586999,0.6515868],"study_design_scores_gemma":[0.0002306019,0.0004831527,0.001975374,0.0002700329,0.00008155909,0.00208937,0.0000929857,0.01065721,0.03746533,0.01003241,0.9364336,0.0001883908],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.01410432,0.005181748,0.4475146,0.0005840167,0.001299362,0.001005386,0.009191351,0.2909312,0.230188],"genre_scores_gemma":[0.2071387,0.004454549,0.3229774,0.002883263,0.0003881367,0.002247469,0.0247104,0.02289581,0.4123042],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.119944,"threshold_uncertainty_score":0.4012527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007135101810861143,"score_gpt":0.2644164380964527,"score_spread":0.2572813362855916,"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."}}