{"id":"W4383683052","doi":"10.1145/3563657.3596113","title":"Designing Wearable Technology for Opera","year":2023,"lang":"en","type":"article","venue":"","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario College of Art and Design","funders":"","keywords":"Wearable computer; Computer science; Opera; Wearable technology; Human–computer interaction; Embedded system; Art; Visual arts","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":[0.002201545,0.0009137949,0.0002555197,0.0007787818,0.001160531,0.003074839,0.001094525,0.001107048,0.00911328],"category_scores_gemma":[0.002971711,0.0004280928,0.0007709375,0.0004154397,0.001430005,0.003181802,0.002852651,0.001137881,0.002274774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004259315,"about_ca_system_score_gemma":0.0004460211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003656381,"about_ca_topic_score_gemma":0.0006255195,"domain_scores_codex":[0.9988759,0.0005189173,0.00005504281,0.0001460908,0.0002716671,0.0001324846],"domain_scores_gemma":[0.9992625,0.0002879617,0.00004236634,0.0001283786,0.0001440837,0.0001346382],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004201959,0.0005754873,0.005128269,0.002190853,0.0001240829,0.003220837,0.04165637,0.005090613,0.2447776,0.1551665,0.03003472,0.5116146],"study_design_scores_gemma":[0.0001386694,0.002657467,0.01102922,0.001277388,0.0002006807,0.00425535,0.02402207,0.01773282,0.07271349,0.04403258,0.8216661,0.0002741944],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1200505,0.001759744,0.7851763,0.001928422,0.001008714,0.001101506,0.0002098337,0.002341376,0.08642364],"genre_scores_gemma":[0.4260348,0.002668322,0.5180014,0.0006493602,0.0002373681,0.001420531,0.0003321791,0.0006547522,0.05000125],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00911328,"threshold_uncertainty_score":0.03048694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08567147598369489,"score_gpt":0.3329226994920865,"score_spread":0.2472512235083916,"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."}}