{"id":"W4387993439","doi":"10.1145/3586182.3616670","title":"FluencyAR: Augmented Reality Language Immersion","year":2023,"lang":"en","type":"article","venue":"","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Immersion (mathematics); Augmented reality; Computer science; Virtual reality; Mixed reality; Human–computer interaction; 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":[0.0006161635,0.001192448,0.0005438671,0.0006032607,0.0003655431,0.001694812,0.001262682,0.001013974,0.0306881],"category_scores_gemma":[0.002727574,0.0004834954,0.0009688783,0.0002898158,0.0005791346,0.001629791,0.003991393,0.001043617,0.006431828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003049937,"about_ca_system_score_gemma":0.0004972765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006950192,"about_ca_topic_score_gemma":0.0008774285,"domain_scores_codex":[0.9990225,0.0002102233,0.00005493803,0.0001230343,0.0004583711,0.0001309278],"domain_scores_gemma":[0.999148,0.0003227015,0.00005924595,0.0001642294,0.0001701395,0.0001357762],"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":[0.002293975,0.0008851765,0.002853846,0.001926462,0.0002314602,0.001557836,0.00477534,0.008040769,0.2326698,0.02451765,0.08728898,0.6329588],"study_design_scores_gemma":[0.001128159,0.004979501,0.01291126,0.0006156226,0.000349551,0.007688638,0.00147732,0.08172982,0.159936,0.01838867,0.7100999,0.0006956095],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.0838479,0.001969774,0.7741641,0.0009164489,0.0007913299,0.001215316,0.003802649,0.06232729,0.07096518],"genre_scores_gemma":[0.6398098,0.001731037,0.285748,0.001012073,0.0003425548,0.002241719,0.005423926,0.005846201,0.05784467],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.0306881,"threshold_uncertainty_score":0.102662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02436081363330091,"score_gpt":0.3049824189972133,"score_spread":0.2806216053639124,"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."}}