{"id":"W4402722170","doi":"10.1145/3670947.3670960","title":"BendAide: A Deformable Interface to Augment Touchscreen Mobile Devices","year":2024,"lang":"en","type":"article","venue":"Graphics Interface","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; Carleton University","funders":"Universitas Brawijaya","keywords":"Touchscreen; Augment; Computer science; Computer graphics (images); Mobile device; Interface (matter); Human–computer interaction; 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":[0.0006084672,0.0009973129,0.0003890244,0.0006362707,0.0003872701,0.001147737,0.001257188,0.001357882,0.01433495],"category_scores_gemma":[0.004017743,0.0004131601,0.000604082,0.0003263931,0.0005280378,0.002000618,0.002687537,0.0008706714,0.001781424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000287137,"about_ca_system_score_gemma":0.000185913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000674997,"about_ca_topic_score_gemma":0.001479588,"domain_scores_codex":[0.9993747,0.0001132874,0.00003965763,0.00007871398,0.0003335712,0.00006010437],"domain_scores_gemma":[0.9990962,0.000434666,0.00006534104,0.0001785598,0.0001307251,0.00009443225],"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":[0.0008979716,0.0005165713,0.003470423,0.001769425,0.00007220488,0.003126106,0.0044177,0.003832463,0.4123718,0.01701343,0.02391851,0.5285934],"study_design_scores_gemma":[0.000485675,0.003005648,0.028404,0.0009191538,0.0002618992,0.01751753,0.001893671,0.07040168,0.1531184,0.01135729,0.7120277,0.0006073182],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2012457,0.003961682,0.7236505,0.001556184,0.0009483667,0.001480655,0.0008856617,0.01184493,0.05442638],"genre_scores_gemma":[0.5311666,0.001351252,0.4333062,0.0008130921,0.00009939845,0.0005594408,0.0009742391,0.001044408,0.03068544],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01433495,"threshold_uncertainty_score":0.04795516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01559843716855987,"score_gpt":0.3079260567319472,"score_spread":0.2923276195633873,"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."}}