{"id":"W2415809773","doi":"10.1145/2901790.2901815","title":"Tap-Kick-Click","year":2016,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Desk; Debugging; Computer science; Usability; Interface (matter); Foot (prosody); Input device; Code (set theory); User interface; Human–computer interaction; Computer graphics (images); Visualization; Simulation; Computer vision; Computer hardware; Artificial intelligence; Operating system; Programming language; Set (abstract data type)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002122645,0.0007298465,0.000466588,0.0005907617,0.0004650349,0.000508346,0.001136625,0.0004515822,0.01458135],"category_scores_gemma":[0.001096403,0.0002725062,0.000232873,0.0004229271,0.0002419653,0.0005220887,0.001279063,0.0004981851,0.00186203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001489674,"about_ca_system_score_gemma":0.0002496216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000865811,"about_ca_topic_score_gemma":0.002177539,"domain_scores_codex":[0.9996327,0.00003441898,0.00001802028,0.00007062262,0.0001947281,0.00004954849],"domain_scores_gemma":[0.9994671,0.0001840824,0.00004182629,0.0001061209,0.0001060845,0.00009487268],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006014948,0.000264726,0.001870387,0.0006479513,0.00003688256,0.0005003712,0.0003421112,0.0009013456,0.6313937,0.001215574,0.00480821,0.3574173],"study_design_scores_gemma":[0.0004599587,0.007268808,0.07075202,0.0003932311,0.0003621312,0.0134728,0.0006807577,0.1081513,0.6090922,0.004454271,0.184421,0.0004915946],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.1502727,0.00104048,0.824391,0.0001100471,0.0001930599,0.0005624662,0.0007303465,0.01010412,0.01259579],"genre_scores_gemma":[0.6381734,0.0008897246,0.3363664,0.0001890672,0.0000820959,0.0006432322,0.001052367,0.000700674,0.02190307],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01458135,"threshold_uncertainty_score":0.04877949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007991749248548632,"score_gpt":0.2262071538392525,"score_spread":0.2182154045907039,"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."}}