{"id":"W2305532800","doi":"10.14288/1.0167492","title":"Touchless gesture recognition system for imaging controls in sterile environment","year":2014,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Hand Gesture Recognition Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Zoom; Usability; Gesture; DICOM; Human–computer interaction; Plug-in; User interface; Gesture recognition; Process (computing); Window (computing); Medical imaging; Focus (optics); Artificial intelligence; Operating system; Engineering","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":[0.0008198579,0.001096622,0.000888666,0.0007938944,0.0003219662,0.0007127845,0.001666864,0.001100699,0.02556024],"category_scores_gemma":[0.002004327,0.0003596041,0.0005159024,0.0003718905,0.0003298954,0.0008292577,0.001122766,0.0006107533,0.008935332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002518657,"about_ca_system_score_gemma":0.0004925252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001093693,"about_ca_topic_score_gemma":0.001091551,"domain_scores_codex":[0.9988945,0.000144335,0.0001176,0.0002726413,0.0004789332,0.00009193509],"domain_scores_gemma":[0.999158,0.0002523477,0.00009313948,0.0001385078,0.0002658907,0.00009217533],"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":[0.001245313,0.0002677994,0.002147457,0.00108732,0.0000568162,0.001126995,0.0005901433,0.001184145,0.4465895,0.002171665,0.02842821,0.5151047],"study_design_scores_gemma":[0.0006515095,0.003653573,0.04469423,0.0006599535,0.0004548018,0.01164566,0.000425795,0.104354,0.5315248,0.003613587,0.2974671,0.0008549785],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0504775,0.00188832,0.8647552,0.0004751896,0.0006356472,0.001652693,0.002080167,0.05880372,0.01923155],"genre_scores_gemma":[0.5012522,0.00123866,0.4088702,0.001142711,0.0001870019,0.003396516,0.00302129,0.002086124,0.07880525],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02556024,"threshold_uncertainty_score":0.08550751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008222787926728268,"score_gpt":0.1617251226911658,"score_spread":0.1535023347644376,"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."}}