{"id":"W1540477816","doi":"10.1109/sose.2015.16","title":"Sensor Data Propagation in Mobile Hosting Networks","year":2015,"lang":"en","type":"article","venue":"","topic":"Opportunistic and Delay-Tolerant Networks","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Computer science; Wireless sensor network; Mobile device; Real-time computing; Latency (audio); Energy consumption; Mobile computing; Context (archaeology); Minification; Computer network; Telecommunications; Engineering; World Wide Web","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":[0.0007451283,0.000090551,0.0001194408,0.00004721533,0.00003698848,0.0001247203,0.0007999966,0.00006166812,0.000009309288],"category_scores_gemma":[0.00001581063,0.00007660317,0.00001085138,0.0003243341,0.00002116036,0.0006078329,0.0005665894,0.0001336624,0.00003724153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002589776,"about_ca_system_score_gemma":0.0001041558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004986564,"about_ca_topic_score_gemma":0.00002595985,"domain_scores_codex":[0.9988897,0.00005701984,0.0002305389,0.0003722112,0.0001977634,0.0002527562],"domain_scores_gemma":[0.9988123,0.00008047047,0.00006185923,0.0008472751,0.00006349904,0.0001346177],"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":[0.00001545237,0.0001236238,0.006573161,0.000008533487,0.000008663855,0.0001832598,0.0005393265,0.02409303,0.000009599509,0.008087923,0.03095762,0.9293998],"study_design_scores_gemma":[0.0002312734,0.00003753363,0.0001073878,0.00001435108,0.000001662193,0.00001841365,0.00007297733,0.9954095,0.000003895764,0.0003155841,0.003674689,0.0001127542],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002867419,0.0001621053,0.9819071,0.0001933377,0.0003770601,0.0001953361,0.000001127698,0.0001463001,0.01415016],"genre_scores_gemma":[0.9503303,0.00001380385,0.0484583,0.0003284606,0.0001855757,0.00001029239,0.00003845163,0.000006462966,0.0006283519],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9713165,"threshold_uncertainty_score":0.3123786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08992070640422131,"score_gpt":0.2892831398719911,"score_spread":0.1993624334677698,"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."}}