{"id":"W3139549852","doi":"10.1145/3448104","title":"SplitSR","year":2021,"lang":"en","type":"article","venue":"Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies","topic":"Advanced Image Processing Techniques","field":"Computer Science","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Residual; Mobile device; Inference; Latency (audio); Deep learning; Computer engineering; Cloud computing; Bilinear interpolation; Convolutional neural network; Artificial intelligence; Ranging; Computation; Computer vision; Algorithm; Operating 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":[0.0006517904,0.001105755,0.0005987835,0.0006761682,0.0004487442,0.001102469,0.001815969,0.0008957185,0.04003959],"category_scores_gemma":[0.001944957,0.0005250243,0.000790198,0.0005079357,0.0003595801,0.002170051,0.002048205,0.00114596,0.01962119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005466718,"about_ca_system_score_gemma":0.0007837225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002477232,"about_ca_topic_score_gemma":0.004583725,"domain_scores_codex":[0.9993526,0.000058822,0.0000449604,0.000192254,0.000266402,0.0000850494],"domain_scores_gemma":[0.9994594,0.00008745417,0.00004186919,0.0001960341,0.0001817265,0.0000336001],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00107825,0.0001958685,0.002469292,0.0006448998,0.0002314772,0.0005203358,0.0002862471,0.02659484,0.06188788,0.02239214,0.1578409,0.7258578],"study_design_scores_gemma":[0.0002290631,0.0005858848,0.002874606,0.0001152891,0.0001383216,0.001293797,0.000228888,0.5153533,0.14088,0.02979773,0.3083557,0.0001473376],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0366828,0.001518023,0.8121863,0.0008002146,0.0007131398,0.0004788045,0.008006615,0.08607405,0.05353995],"genre_scores_gemma":[0.2974355,0.00105779,0.5885401,0.001794076,0.0002190995,0.0006290084,0.0255334,0.007218112,0.07757304],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04003959,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01049224078120243,"score_gpt":0.2649735983193623,"score_spread":0.2544813575381599,"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."}}