{"id":"W2397720834","doi":"10.1504/ijbpim.2015.071255","title":"Peer-to-peer mobile data flow in a crop field","year":2015,"lang":"en","type":"article","venue":"International Journal of Business Process Integration and Management","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Computer science; Workflow; Redundancy (engineering); Distributed computing; Wireless; Bloom filter; Revenue; Bandwidth (computing); Computer network; Telecommunications; Database","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":[0.00133352,0.0003303155,0.0005544588,0.001004309,0.001542995,0.001178257,0.001151505,0.001028647,0.001583104],"category_scores_gemma":[0.002966386,0.0003406331,0.0002483941,0.0009880099,0.0005787815,0.001998571,0.001069365,0.000463723,0.0004872627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009283671,"about_ca_system_score_gemma":0.001293012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004441526,"about_ca_topic_score_gemma":0.00357461,"domain_scores_codex":[0.9993438,0.0001565662,0.00005692584,0.0001914551,0.0001734657,0.00007778889],"domain_scores_gemma":[0.998582,0.0006705395,0.0001104164,0.0002602134,0.0002716776,0.0001050927],"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":[0.002107664,0.0006594264,0.009375352,0.0004433416,0.0001080305,0.002262156,0.002811636,0.2138654,0.111945,0.07306376,0.008529332,0.5748289],"study_design_scores_gemma":[0.0001832756,0.0004309099,0.00226855,0.00003785141,0.00004494631,0.0007520292,0.0007263059,0.8936938,0.05165342,0.02656145,0.02357522,0.00007220447],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2268147,0.0005321357,0.764734,0.0004733222,0.0001071912,0.000690752,0.0002654805,0.002578606,0.003803672],"genre_scores_gemma":[0.7644473,0.0002788139,0.2291234,0.00007087194,0.00004426627,0.0001888311,0.0002533142,0.00005631999,0.0055369],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004441526,"threshold_uncertainty_score":0.008831382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04553926683661356,"score_gpt":0.3218219643615243,"score_spread":0.2762826975249107,"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."}}