{"id":"W2613918921","doi":"10.1108/ijpcc-02-2017-0011","title":"A mobile platform for controlling and interacting with a do-it-yourself smart eyewear","year":2017,"lang":"en","type":"article","venue":"International Journal of Pervasive Computing and Communications","topic":"Gaze Tracking and Assistive Technology","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université TÉLUQ; Université du Québec à Montréal","funders":"","keywords":"Eyewear; Computer science; Human–computer interaction; Augmented reality; Usability; Smartwatch; Laptop; Modalities; Headset; Multimedia; Wearable computer; Embedded 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":[0.0002719417,0.0007606986,0.0002598708,0.0005092378,0.0003286369,0.0007036462,0.0006576584,0.0006717572,0.01011574],"category_scores_gemma":[0.0007879238,0.0002812376,0.0004047721,0.0001850662,0.000298643,0.0009912716,0.001521621,0.0004742086,0.002448075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001308123,"about_ca_system_score_gemma":0.0003023974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000620842,"about_ca_topic_score_gemma":0.001020845,"domain_scores_codex":[0.9997478,0.00003666068,0.00001357134,0.00004937202,0.0001007081,0.00005185672],"domain_scores_gemma":[0.9995999,0.0001139916,0.00004586366,0.00007612491,0.00007832931,0.00008582805],"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":[0.001563244,0.0006937631,0.004733369,0.001770766,0.0001117479,0.002561993,0.003057321,0.0008994819,0.5225388,0.006343012,0.02753735,0.4281891],"study_design_scores_gemma":[0.0008189883,0.01034939,0.06304068,0.0007979904,0.0006059181,0.01523955,0.002490943,0.02920862,0.3009243,0.003692975,0.5721363,0.0006943707],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.4886246,0.002612101,0.4294889,0.0008908303,0.0006608426,0.003582078,0.001736747,0.02364854,0.04875545],"genre_scores_gemma":[0.6944252,0.00143943,0.246479,0.0007695449,0.0001654686,0.001797822,0.001415146,0.0009139116,0.05259454],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01011574,"threshold_uncertainty_score":0.03384054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04104493499271526,"score_gpt":0.353005856824583,"score_spread":0.3119609218318677,"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."}}