{"id":"W3036156748","doi":"10.1002/spe.2847","title":"Service offloading oriented edge server placement in smart farming","year":2020,"lang":"en","type":"article","venue":"Software Practice and Experience","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brandon University","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Computer science; Service (business); Automation; Enhanced Data Rates for GSM Evolution; Server; Agriculture; Edge computing; Distributed computing; Computer network; Telecommunications; Engineering; Business","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":[0.0003456113,0.000191531,0.0001900594,0.00006692795,0.0002470461,0.0002419612,0.0005234769,0.00006301128,0.000008556292],"category_scores_gemma":[0.0008707906,0.0001960605,0.00002789936,0.0009481658,0.0000305332,0.002297343,0.0007321913,0.0002779774,0.00008804358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005161234,"about_ca_system_score_gemma":0.00008419598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002171976,"about_ca_topic_score_gemma":0.000007345964,"domain_scores_codex":[0.9982319,0.00009777837,0.0003067087,0.0006137535,0.0003078595,0.0004419528],"domain_scores_gemma":[0.9988867,0.0003405061,0.0001387765,0.0003000592,0.0001302779,0.0002036986],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004035217,0.0005020217,0.07271594,0.0005542,0.0000832049,0.000883011,0.7635192,0.0004186555,0.004117493,0.00291948,0.01078061,0.1431027],"study_design_scores_gemma":[0.002807964,0.0005244605,0.005527584,0.0004836283,0.00003792442,0.0002820362,0.0339329,0.1289433,0.006810945,0.000260605,0.8184946,0.001893997],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6790616,0.000658436,0.3053691,0.009517651,0.003668265,0.000309541,2.924714e-7,0.0004593348,0.0009558162],"genre_scores_gemma":[0.8386065,0.00009286311,0.1327496,0.02736249,0.0009866456,0.00006310358,0.000004986762,0.00003425635,0.0000995412],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.807714,"threshold_uncertainty_score":0.7995114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02779146239554989,"score_gpt":0.2791383117747547,"score_spread":0.2513468493792048,"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."}}