{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004336071,0.0001525411,0.0002163657,0.0001831413,0.0002588222,0.0001263104,0.0002318816,0.0001285398,0.00002955938],"category_scores_gemma":[0.0004737991,0.0001518106,0.0001486369,0.0004225509,0.0002165631,0.0001334071,0.00004863613,0.0001319094,0.00002118859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005292695,"about_ca_system_score_gemma":0.0001315582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001417495,"about_ca_topic_score_gemma":0.000006999172,"domain_scores_codex":[0.9985446,0.00008067728,0.000322372,0.0004070006,0.0003126153,0.0003326926],"domain_scores_gemma":[0.9984839,0.0004442864,0.0001373892,0.0004818217,0.0003555737,0.0000970249],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004061721,0.0005866931,0.007617673,0.0004006128,0.0002326961,0.00003841483,0.004712581,0.02057379,0.1690989,0.4554496,0.00461738,0.3362654],"study_design_scores_gemma":[0.000299227,0.0001279767,0.001748183,0.0001551185,0.0000203316,0.00001847435,0.0000725115,0.9807631,0.01261146,0.002840785,0.001144457,0.0001983658],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5030833,0.000005073383,0.495528,0.0006019165,0.000236333,0.00009362922,0.000003080788,0.00008546017,0.0003631417],"genre_scores_gemma":[0.7129602,4.116746e-7,0.2864049,0.0002425324,0.000250112,0.000001430147,0.000003597419,0.00001311194,0.0001237244],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9601893,"threshold_uncertainty_score":0.6190659,"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."}}