{"id":"W2089016833","doi":"10.1109/mobserv.2014.23","title":"Management of Mobile Data in a Crop Field","year":2014,"lang":"en","type":"article","venue":"","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"University of Saskatchewan","keywords":"Computer science; Mobile technology; Mobile computing; Mobile database; Data access; Mobile broadband; Mobile Web; Database; Telecommunications; Wireless; Mobile station; Base station","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005743681,0.0003826282,0.0004695873,0.0009415994,0.0008880135,0.001440556,0.0009576328,0.0005753107,0.001351419],"category_scores_gemma":[0.001130937,0.000216181,0.0002045937,0.0006468327,0.0002866359,0.001562688,0.0009356724,0.0003968999,0.0007186599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004863602,"about_ca_system_score_gemma":0.0005130444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002671476,"about_ca_topic_score_gemma":0.002248747,"domain_scores_codex":[0.9996717,0.00004433545,0.00003061307,0.00008822878,0.0001133869,0.00005178903],"domain_scores_gemma":[0.9991627,0.00015423,0.00008132117,0.0002432219,0.0002637775,0.00009467841],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001056318,0.0004774483,0.02968806,0.0005900987,0.0001880865,0.006979939,0.002910046,0.03622643,0.2995772,0.01191679,0.02110772,0.5892819],"study_design_scores_gemma":[0.0001975013,0.001046228,0.03244441,0.0002204415,0.0002920309,0.003051806,0.003116942,0.5898059,0.1910691,0.01567782,0.1628491,0.00022878],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4288843,0.002481987,0.5311393,0.001464908,0.0003991235,0.0009614135,0.001298117,0.01490492,0.01846587],"genre_scores_gemma":[0.9405202,0.0006512136,0.04920426,0.0002243302,0.0000912152,0.0001582193,0.0007332679,0.0001333728,0.008283827],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002671476,"threshold_uncertainty_score":0.005311847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02409145122265491,"score_gpt":0.275018959197285,"score_spread":0.2509275079746301,"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."}}