{"id":"W4308222469","doi":"10.1145/3536221.3556586","title":"EdgeSelect: Smartwatch Data Interaction with Minimal Screen Occlusion","year":2022,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Manitoba; University of Waterloo","funders":"","keywords":"Smartwatch; Generalizability theory; Computer science; Display size; Human–computer interaction; Interaction technique; Selection (genetic algorithm); Occlusion; Artificial intelligence; Computer vision; Wearable computer; Embedded system; Display device; Mathematics","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":[0.0004991133,0.0009301708,0.0005172498,0.0004650668,0.0003321071,0.0008589567,0.001164445,0.000737568,0.01340655],"category_scores_gemma":[0.003340096,0.0004034877,0.0004894938,0.0002679384,0.0004388572,0.001375063,0.002049686,0.0006009237,0.002214583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001834488,"about_ca_system_score_gemma":0.000225167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000674142,"about_ca_topic_score_gemma":0.001359734,"domain_scores_codex":[0.9994701,0.0001262319,0.00002629652,0.0001069993,0.0001958515,0.00007448795],"domain_scores_gemma":[0.9985001,0.0009180782,0.00009353615,0.0002487973,0.0001380586,0.0001013519],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003642447,0.0007583671,0.005358042,0.001316832,0.0002083501,0.001349883,0.004134207,0.006724888,0.5292273,0.006648979,0.02722631,0.4134044],"study_design_scores_gemma":[0.0009600842,0.006349441,0.03947449,0.0003392764,0.0003234922,0.003643229,0.001822007,0.2137888,0.5793645,0.009161699,0.1442476,0.0005253863],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2195113,0.0004574229,0.7320365,0.0002807871,0.0001556805,0.0005509423,0.0008924222,0.03164326,0.01447154],"genre_scores_gemma":[0.6652978,0.0002691895,0.317266,0.0006046087,0.00007118351,0.0008637587,0.00115596,0.002778863,0.01169253],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01340655,"threshold_uncertainty_score":0.04484934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03113018717723316,"score_gpt":0.2793043434738748,"score_spread":0.2481741562966417,"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."}}