{"id":"W2110561520","doi":"10.1145/1936652.1936663","title":"Tool support for testing complex multi-touch gestures","year":2010,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Gesture; Debugging; Computer science; Human–computer interaction; Process (computing); Multi-touch; Software; Software engineering; Artificial intelligence; Programming language","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":[0.0001005432,0.0001008469,0.00009784306,0.00004598182,0.0001381765,0.0001032596,0.0005214444,0.00004046634,0.0001470434],"category_scores_gemma":[0.0002483212,0.00008240817,0.00006353175,0.0000983205,0.000025873,0.000267113,0.0001265808,0.0001322933,0.0001330504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007937171,"about_ca_system_score_gemma":0.00004192281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003975046,"about_ca_topic_score_gemma":0.00002577228,"domain_scores_codex":[0.9992511,0.00000863984,0.0001323779,0.000261492,0.00009433658,0.0002520753],"domain_scores_gemma":[0.999116,0.0002471387,0.00004912441,0.0002844715,0.0002570626,0.00004622074],"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":[0.000004833062,0.00008067981,0.002462891,0.000007443918,0.00001238856,0.000004278407,0.0002374254,0.000003978721,0.9327068,0.03926362,0.02012059,0.005095006],"study_design_scores_gemma":[0.001581168,0.0004764025,0.3165067,0.00001152465,0.00001527795,0.00009931969,0.0001999396,0.2526852,0.3213409,0.001432357,0.1049181,0.0007331026],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05682789,0.000001317126,0.9129608,0.0006208901,0.000842586,0.0003196676,0.000007599923,0.00006837083,0.0283509],"genre_scores_gemma":[0.6605703,7.300805e-8,0.3353445,0.001692727,0.0000844693,0.00002245268,0.000005813733,0.000006280834,0.002273376],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.611366,"threshold_uncertainty_score":0.3360507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06708131709850716,"score_gpt":0.3250036949617773,"score_spread":0.2579223778632701,"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."}}