{"id":"W4307485608","doi":"10.1145/3526114.3558699","title":"Wemoji: Towards Designing Complementary Communication Systems in Augmented Reality","year":2022,"lang":"en","type":"article","venue":"","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Augmented reality; Computer science; Set (abstract data type); Human–computer interaction; Complement (music); Face (sociological concept); Dimension (graph theory); Space (punctuation); Volume (thermodynamics); Multimedia; Theoretical computer science; Mathematics; Programming language","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001136566,0.00009102923,0.000128977,0.0003184896,0.0003476133,0.00006017991,0.001112136,0.00002627163,0.0002005693],"category_scores_gemma":[0.00001615217,0.00009990618,0.00002017491,0.0007835685,0.00003795174,0.0004241741,0.001065259,0.0003913803,0.00001398609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006286835,"about_ca_system_score_gemma":0.0000452805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003011256,"about_ca_topic_score_gemma":0.0001776679,"domain_scores_codex":[0.9985163,0.0004181082,0.0003629122,0.0002584586,0.0002518533,0.0001923875],"domain_scores_gemma":[0.9989793,0.00006628717,0.0001536966,0.0007067505,0.00007968531,0.00001432799],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002908959,0.0003573222,0.004464632,0.00001844231,0.00005414364,0.00002521105,0.002423954,0.002596921,0.0118793,0.9421061,0.02101667,0.01502823],"study_design_scores_gemma":[0.003153168,0.0007521963,0.04207285,0.0001101642,0.00001405668,0.0002434087,0.01570443,0.8120872,0.02390708,0.02497172,0.07593546,0.001048189],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1387285,0.0001442607,0.822219,0.0109787,0.0009488181,0.0009537296,0.00001154908,0.0008640352,0.02515144],"genre_scores_gemma":[0.985321,0.000002468615,0.01376718,0.0004817609,0.000007198863,0.000171969,0.00004678374,0.000005423228,0.0001962592],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9171343,"threshold_uncertainty_score":0.4552138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0774031294487752,"score_gpt":0.3295889986784754,"score_spread":0.2521858692297002,"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."}}