{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001983818,0.0001062924,0.00009528971,0.0000992,0.0003713614,0.00009016499,0.001550106,0.00001353948,0.0007592827],"category_scores_gemma":[0.0000160034,0.00008640335,0.00002511087,0.0003654148,0.00001673633,0.001411268,0.002507604,0.0002368839,0.0001119899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007658701,"about_ca_system_score_gemma":0.00007183319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003003286,"about_ca_topic_score_gemma":0.00005685249,"domain_scores_codex":[0.9987725,0.00008762177,0.0001210429,0.0004829883,0.0003169868,0.0002188474],"domain_scores_gemma":[0.9989104,0.00007084138,0.00006953713,0.0008151528,0.00008515568,0.00004893536],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001187131,0.001233349,0.01048774,0.00002066568,0.0002947717,0.000452127,0.004402662,0.0004451898,0.1339984,0.03687717,0.7801551,0.03044563],"study_design_scores_gemma":[0.002276902,0.003980141,0.03505237,0.00004219363,0.00005735727,0.001456422,0.004996932,0.3816208,0.06569131,0.0003727821,0.503114,0.001338801],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09571809,0.00005373322,0.7925842,0.006190152,0.001260221,0.0004198121,0.00006550601,0.0001222113,0.1035861],"genre_scores_gemma":[0.9907188,0.000002106041,0.005382006,0.001452367,0.00005946391,0.00001017858,0.0001471067,0.000008893917,0.002219018],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8950008,"threshold_uncertainty_score":0.8313614,"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."}}