{"id":"W2550629689","doi":"10.1145/2992154.2996871","title":"Single-Handed HandMark Menus","year":2016,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Landmark; Computer science; Selection (genetic algorithm); Set (abstract data type); Human–computer interaction; Frame (networking); Artificial intelligence; Computer vision; Programming language; Telecommunications","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":[0.000450284,0.0007249757,0.0005388375,0.0005783891,0.0002592354,0.0005695522,0.001428229,0.0006580973,0.04877811],"category_scores_gemma":[0.002949567,0.0002230703,0.0003166252,0.0004168985,0.0002773331,0.001402464,0.001360408,0.0003186964,0.00612176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001340358,"about_ca_system_score_gemma":0.0001826336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003246723,"about_ca_topic_score_gemma":0.0005147932,"domain_scores_codex":[0.9996456,0.00005192783,0.00003213614,0.00007256841,0.0001479684,0.00004971289],"domain_scores_gemma":[0.9977559,0.00113579,0.0001351223,0.0004981348,0.0002928057,0.0001822064],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002304969,0.0003008455,0.002066947,0.001763937,0.00005807304,0.001259808,0.0006724225,0.001125784,0.1693742,0.00441504,0.01736268,0.7992953],"study_design_scores_gemma":[0.001224541,0.005567787,0.0523812,0.001148542,0.0004022409,0.01741832,0.001068216,0.04728205,0.4308484,0.01772702,0.4242363,0.0006953739],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.259282,0.00355703,0.6427367,0.0003341007,0.0006203782,0.001463573,0.00387146,0.0347511,0.05338368],"genre_scores_gemma":[0.6308331,0.00100171,0.3229227,0.0004416396,0.0001526727,0.001165847,0.001655602,0.001643412,0.04018332],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04877811,"threshold_uncertainty_score":0.163179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0172155262604293,"score_gpt":0.2309481547040367,"score_spread":0.2137326284436074,"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."}}