{"id":"W2072498199","doi":"10.4018/jmcmc.2012070101","title":"Progressive Data Synchronization Model for Mobile Devices","year":2012,"lang":"en","type":"article","venue":"International Journal of Mobile Computing and Multimedia Communications","topic":"Distributed systems and fault tolerance","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Rimouski","funders":"","keywords":"Data synchronization; Computer science; Synchronizing; Synchronization (alternating current); Distributed computing; Mobile device; Computer network; Mobile computing; Context (archaeology); Real-time computing; Wireless sensor network; Telecommunications; Channel (broadcasting); Operating system","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":[0.0008202156,0.0001004875,0.0001715321,0.00009833488,0.0001689715,0.0001721351,0.003228697,0.00004752702,0.000001264355],"category_scores_gemma":[0.0001614808,0.00008951337,0.00004920195,0.0001014112,0.00007372879,0.001024116,0.001022391,0.0001473506,0.000002146242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000047268,"about_ca_system_score_gemma":0.0001068135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005955867,"about_ca_topic_score_gemma":0.000002645449,"domain_scores_codex":[0.9988444,0.00007013889,0.0005069783,0.0001415268,0.0002676894,0.0001692562],"domain_scores_gemma":[0.997131,0.0004723177,0.0005939991,0.0008262452,0.000862981,0.0001134941],"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":[0.00002147432,0.001164073,0.005040053,0.00004583689,0.0003434871,0.000003391183,0.009175005,0.02815848,0.0001813382,0.005894256,0.003261034,0.9467116],"study_design_scores_gemma":[0.0005287711,0.00003595523,0.0003714622,0.0001176508,0.00001561274,0.0001033916,0.0001640745,0.9855945,0.00002004782,0.00008671843,0.01286884,0.00009305085],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009375869,0.008483303,0.9804561,0.0004448468,0.0007776295,0.0002916502,0.0000792439,0.000033647,0.00005771622],"genre_scores_gemma":[0.7777476,0.0001726467,0.2216443,0.00005890553,0.0002460093,0.00002378754,0.00008857001,0.000006371662,0.00001181649],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.957436,"threshold_uncertainty_score":0.5999776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05526508567468721,"score_gpt":0.3751479811107485,"score_spread":0.3198828954360613,"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."}}