{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003287971,0.0003156788,0.0002475873,0.0004378889,0.0001571828,0.0006529558,0.001432379,0.00009038299,0.0001670552],"category_scores_gemma":[0.00002871445,0.0002769694,0.000202087,0.0009969382,0.00005240128,0.001353412,0.0008348555,0.0004387399,0.001610646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001485139,"about_ca_system_score_gemma":0.00007545875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001616551,"about_ca_topic_score_gemma":0.0000969004,"domain_scores_codex":[0.9978765,0.00006398602,0.0003655209,0.0007568682,0.0003662574,0.0005708386],"domain_scores_gemma":[0.9987265,0.0001394021,0.00005967927,0.00067923,0.0001904248,0.0002046955],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000304694,0.000676064,0.0009145188,0.0007810123,0.001624524,0.0003024037,0.03893745,0.01056836,0.194645,0.4508397,0.2491275,0.05127873],"study_design_scores_gemma":[0.0002780258,0.001248097,0.0006150839,0.0008786824,0.00004566109,0.00009792487,0.001489855,0.07265499,0.3835449,0.002445443,0.5358106,0.0008907825],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08103183,0.002680657,0.902473,0.001659564,0.002119888,0.0005133883,0.00003529294,0.0002156756,0.009270717],"genre_scores_gemma":[0.9937627,0.0000578922,0.002618689,0.001209893,0.00007258132,0.00009833843,0.000004308346,0.0000282269,0.002147391],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9127309,"threshold_uncertainty_score":0.9999682,"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."}}