{"id":"W2920033256","doi":"10.1007/s11042-019-7306-0","title":"A hybrid remote rendering method for mobile applications","year":2019,"lang":"en","type":"article","venue":"Multimedia Tools and Applications","topic":"Cloud Computing and Remote Desktop Technologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Rendering (computer graphics); Fidelity; Overlay; High fidelity; Human–computer interaction; Operating system; Artificial intelligence; Telecommunications","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":[0.0002041334,0.0007668345,0.0006551488,0.000666526,0.0004858313,0.0008744415,0.001045106,0.0006431754,0.01299023],"category_scores_gemma":[0.0004993791,0.0003681665,0.0008370557,0.0004714502,0.0002690725,0.0008633849,0.0008904884,0.0008637778,0.002893915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002303134,"about_ca_system_score_gemma":0.0003157995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001503347,"about_ca_topic_score_gemma":0.002015183,"domain_scores_codex":[0.9996275,0.00004023512,0.00001141411,0.00004978382,0.0002337097,0.00003740118],"domain_scores_gemma":[0.9998022,0.00004532701,0.000009425897,0.0000599284,0.00006076332,0.0000224456],"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":[0.0003329345,0.0001885826,0.0004878031,0.0002513946,0.0000724635,0.0004694891,0.0003105583,0.01537953,0.4685654,0.01391507,0.007808434,0.4922185],"study_design_scores_gemma":[0.0001358322,0.0002774141,0.001367668,0.00004867239,0.000104386,0.001613557,0.0001208849,0.7531559,0.1761701,0.004656673,0.06221801,0.0001310158],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0162882,0.0003992832,0.9688228,0.00008186346,0.0001624338,0.00009300315,0.00005916118,0.005033875,0.009059493],"genre_scores_gemma":[0.2542036,0.0005655673,0.7148485,0.0001284165,0.0001655817,0.0001369524,0.0002795394,0.001658843,0.02801299],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01299023,"threshold_uncertainty_score":0.04345667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0206174049022447,"score_gpt":0.2902145082654641,"score_spread":0.2695971033632194,"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."}}