{"id":"W3161144800","doi":"10.1145/3429285","title":"An Augmented Reality Online Assistance Platform for Repair Tasks","year":2021,"lang":"en","type":"article","venue":"ACM Transactions on Multimedia Computing Communications and Applications","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Augmented reality; Rendering (computer graphics); Leverage (statistics); CLARITY; Human–computer interaction; Multimedia; Artificial intelligence","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":[0.0002712177,0.00132607,0.0004696021,0.0005652118,0.000222187,0.0005576028,0.001497097,0.0009804445,0.02175389],"category_scores_gemma":[0.001034294,0.0003939812,0.0004765347,0.0002620996,0.0001228264,0.0007185668,0.001205106,0.0006310939,0.006345078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001226808,"about_ca_system_score_gemma":0.0004464477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001168473,"about_ca_topic_score_gemma":0.002191164,"domain_scores_codex":[0.9996884,0.00004988866,0.0000193404,0.00006159945,0.0001429472,0.00003777653],"domain_scores_gemma":[0.9994313,0.000146178,0.00004610483,0.0001631012,0.0001050778,0.0001082142],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002477868,0.001925986,0.002251101,0.001189264,0.0001376646,0.001709414,0.001107911,0.009563703,0.2198489,0.00197113,0.03611015,0.721707],"study_design_scores_gemma":[0.001519043,0.008063219,0.04637342,0.0005198575,0.0004986878,0.008355732,0.001462243,0.4438217,0.1853764,0.003913878,0.2992806,0.000815333],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2006411,0.001196188,0.7194897,0.000366838,0.0003592412,0.001347472,0.002746338,0.05989975,0.01395341],"genre_scores_gemma":[0.5127722,0.0006600543,0.4538634,0.000235747,0.0001002207,0.0008696371,0.003167405,0.0006809697,0.02765021],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02175389,"threshold_uncertainty_score":0.07277405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05819563848914665,"score_gpt":0.3483437948558271,"score_spread":0.2901481563666804,"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."}}