{"id":"W3195303402","doi":"10.1109/tnsm.2021.3106577","title":"A Machine Learning Framework for Handling Delayed/Lost Packets in Tactile Internet Remote Robotic Surgery","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Network and Service Management","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal; Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Zayed University","keywords":"Computer science; The Internet; Network packet; Artificial intelligence; Robot; Human–computer interaction; Computer vision; Computer network; Multimedia; Machine learning; Operating system","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004388094,0.0002113681,0.0002874337,0.0001649053,0.0002788363,0.00024315,0.000244678,0.00008954249,0.000009020091],"category_scores_gemma":[0.000004854173,0.000227848,0.0001058254,0.0008602043,0.0000100934,0.000177547,0.00002592345,0.0003909291,0.00001795907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005682858,"about_ca_system_score_gemma":0.00002699531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000932761,"about_ca_topic_score_gemma":0.0002369741,"domain_scores_codex":[0.9983607,0.0001125991,0.0003356029,0.0005299685,0.0001699662,0.0004911923],"domain_scores_gemma":[0.9988821,0.000559059,0.00008457534,0.0003228353,0.00006105353,0.00009042025],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000873657,0.0001556966,0.000186787,0.0003365113,0.0001976974,0.0001514712,0.0012294,0.5234101,0.000005628495,0.001188944,0.0006949591,0.4723555],"study_design_scores_gemma":[0.0003406311,0.00005416808,0.0002329919,0.0005435605,0.00004595572,0.00001682502,0.000070818,0.9875897,0.0001038223,0.002952357,0.007768124,0.0002810241],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006815931,0.0003304917,0.9858013,0.001376263,0.004849097,0.0002329053,3.500126e-7,0.0001109643,0.000482711],"genre_scores_gemma":[0.8490115,0.001109894,0.1449142,0.003225592,0.0007958721,0.00003345026,0.00001448981,0.00005107271,0.0008439371],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8421956,"threshold_uncertainty_score":0.929137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02286304986216143,"score_gpt":0.2406941750071086,"score_spread":0.2178311251449472,"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."}}