{"id":"W2804404899","doi":"10.3390/s18051566","title":"A Crowdsensing Based Analytical Framework for Perceptional Degradation of OTT Web Browsing","year":2018,"lang":"en","type":"article","venue":"Sensors","topic":"Mobile Crowdsensing and Crowdsourcing","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Key Laboratory of Universal Wireless Communications of Ministry of Education; Newton Fund; National Natural Science Foundation of China; Beijing Union University; Beijing University of Posts and Telecommunications; Royal Academy of Engineering","keywords":"Computer science; Key (lock); Service (business); Web service; The Internet; World Wide Web; Computer security","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":[0.001176142,0.0009811322,0.0006151279,0.001491301,0.0006152795,0.001522543,0.001430192,0.0009278158,0.001264143],"category_scores_gemma":[0.004077799,0.0003419401,0.0008840363,0.001078895,0.001140583,0.00123068,0.001538616,0.0008886665,0.0002085496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001659204,"about_ca_system_score_gemma":0.001187277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01440764,"about_ca_topic_score_gemma":0.006716404,"domain_scores_codex":[0.9990039,0.0002773108,0.00005009896,0.0002137318,0.0003261549,0.0001286586],"domain_scores_gemma":[0.9984906,0.0007893947,0.0002180396,0.0001198219,0.0003196282,0.00006248744],"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":[0.0001212919,0.0001614478,0.006731056,0.0004015845,0.00009299311,0.000704759,0.001129623,0.8367869,0.01593832,0.083092,0.002320535,0.05251947],"study_design_scores_gemma":[0.00000243403,0.0000216422,0.0008304542,0.00001070561,0.00001031281,0.00005310373,0.0001499997,0.9874068,0.0006752943,0.01007809,0.0007408287,0.00002032175],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02607946,0.0003640304,0.9674408,0.0003404373,0.00005699849,0.0001496265,0.0002179776,0.000226259,0.005124352],"genre_scores_gemma":[0.9187986,0.0006026561,0.07689741,0.0001122515,0.0001047622,0.000250531,0.000170938,0.00004372564,0.003019127],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01440764,"threshold_uncertainty_score":0.02864754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02945450596718529,"score_gpt":0.2920786044694548,"score_spread":0.2626240985022695,"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."}}