{"id":"W4280518122","doi":"10.1145/3531327","title":"Scientific Workflows in IoT Environments: A Data Placement Strategy Based on Heterogeneous Edge-Cloud Computing","year":2022,"lang":"en","type":"article","venue":"ACM Transactions on Management Information Systems","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"National Natural Science Foundation of China","keywords":"Cloud computing; Computer science; Workflow; Distributed computing; Edge computing; Process (computing); Enhanced Data Rates for GSM Evolution; Data mining; Artificial intelligence; 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":[0.001050977,0.0006320492,0.0008316478,0.0005073548,0.00120655,0.001141785,0.001488105,0.0006702518,0.0007878997],"category_scores_gemma":[0.001520369,0.000389573,0.0007582823,0.001060913,0.0006857978,0.001495625,0.001448577,0.0008094303,0.0001853834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00162179,"about_ca_system_score_gemma":0.002524927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01282223,"about_ca_topic_score_gemma":0.009109117,"domain_scores_codex":[0.9992841,0.0001473155,0.00005199794,0.0002310672,0.0001638575,0.000121543],"domain_scores_gemma":[0.9994123,0.0001346528,0.00007534151,0.00009758073,0.0001316735,0.0001485871],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001474522,0.0001486105,0.002200328,0.00006695864,0.00003474272,0.0002238132,0.0001689389,0.8978209,0.00768153,0.01437357,0.001646072,0.07548706],"study_design_scores_gemma":[0.00001027772,0.00002270551,0.0001359551,0.000002035461,0.000004924297,0.00001939658,0.00002476708,0.9964813,0.0008335127,0.002033213,0.0004266964,0.000005168012],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06447236,0.0002496024,0.9320925,0.0004648767,0.00006397318,0.000103828,0.00006419393,0.0003887783,0.002099922],"genre_scores_gemma":[0.8042014,0.000261047,0.1933119,0.0001297367,0.00002390949,0.0001169298,0.000135199,0.00004471489,0.001775169],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01282223,"threshold_uncertainty_score":0.02549523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03768184845218225,"score_gpt":0.2477854405869255,"score_spread":0.2101035921347433,"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."}}