{"id":"W1792293334","doi":"","title":"Evaluation of an on-line adaptive gesture interface with command prediction","year":2005,"lang":"en","type":"article","venue":"Graphics Interface","topic":"Hand Gesture Recognition Systems","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Gesture; Computer science; Interface (matter); Gesture recognition; Adaptation (eye); Exploit; Human–computer interaction; Line (geometry); Speech recognition; User interface; Artificial intelligence; Operating system","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":[0.001943301,0.00149421,0.0008634095,0.0005207686,0.0002766644,0.0008323725,0.002661219,0.001053718,0.006179247],"category_scores_gemma":[0.006825533,0.0004467533,0.0003770776,0.0003154339,0.0004241552,0.001127265,0.0008795693,0.0006665384,0.00108248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004627383,"about_ca_system_score_gemma":0.0004881888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003542117,"about_ca_topic_score_gemma":0.002473983,"domain_scores_codex":[0.9980843,0.0006071648,0.0001380175,0.0002436459,0.0008058107,0.0001210419],"domain_scores_gemma":[0.9962538,0.00169514,0.0001477404,0.0003643717,0.001290697,0.0002482253],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.006559547,0.004220399,0.007505336,0.001071277,0.0004273942,0.001039188,0.001259704,0.03527956,0.3692534,0.0007476172,0.003822144,0.5688145],"study_design_scores_gemma":[0.0009617896,0.01814485,0.02705086,0.00008766448,0.0004937134,0.002218785,0.0004017461,0.6232668,0.3178396,0.0003578123,0.008966588,0.0002098352],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6650407,0.0003237175,0.3188415,0.000215293,0.0001139678,0.001551057,0.0003244552,0.00989443,0.003694915],"genre_scores_gemma":[0.7712945,0.0002211352,0.2210523,0.0002740865,0.00004378083,0.0007441978,0.000604563,0.0004911216,0.005274287],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006179247,"threshold_uncertainty_score":0.02067161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06802720059281632,"score_gpt":0.3200693291493292,"score_spread":0.2520421285565129,"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."}}