{"id":"W4414114173","doi":"10.1145/3743708","title":"ThumbSwype: Thumb-to-Finger Gesture Based Text-Entry for Head Mounted Displays MHCI031","year":2025,"lang":"en","type":"article","venue":"Proceedings of the ACM on Human-Computer Interaction","topic":"Hand Gesture Recognition Systems","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"L'Alliance Boviteq; Okanagan University College; University of British Columbia, Okanagan Campus; Kelowna General Hospital; University of British Columbia","funders":"","keywords":"SwIPe; Gesture; Text entry; Head (geology); Mobile device; Accelerometer","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":[0.0004905358,0.0009255811,0.0005790808,0.0004603239,0.0002732656,0.000803606,0.001644727,0.0006610976,0.01703021],"category_scores_gemma":[0.001621238,0.000318869,0.0003616795,0.0003920618,0.0002266968,0.0008674614,0.001245636,0.000480709,0.005084032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001998408,"about_ca_system_score_gemma":0.0003276186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001556781,"about_ca_topic_score_gemma":0.0027391,"domain_scores_codex":[0.9993265,0.0000751583,0.00005144424,0.0001198037,0.0003558984,0.0000711938],"domain_scores_gemma":[0.9992539,0.0001684612,0.00006140761,0.0001801001,0.0002297781,0.0001062019],"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":[0.001236055,0.0002824449,0.00227375,0.0006929886,0.00007114086,0.0004651787,0.0003515255,0.0007541557,0.4541339,0.0006552305,0.02499392,0.5140898],"study_design_scores_gemma":[0.0007007425,0.006093736,0.05358824,0.0003258076,0.0002630276,0.006767461,0.0005312011,0.1024647,0.6371745,0.001234808,0.1902954,0.000560385],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2686727,0.002940785,0.6073527,0.0004319404,0.0007833621,0.001612121,0.003578463,0.08399333,0.03063463],"genre_scores_gemma":[0.5843428,0.001134002,0.353631,0.0004735483,0.0001645828,0.0008188625,0.003644252,0.002505232,0.05328555],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01703021,"threshold_uncertainty_score":0.05697173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04007010524620581,"score_gpt":0.3560937932700491,"score_spread":0.3160236880238433,"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."}}