{"id":"W2889171174","doi":"10.1145/3145625","title":"Privacy-preserving Data Aggregation Computing in Cyber-Physical Social Systems","year":2018,"lang":"en","type":"article","venue":"ACM Transactions on Cyber-Physical Systems","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"News aggregator; Computer science; Data aggregator; Cyber-physical system; Computation; Big data; Bitwise operation; Data mining; Algorithm; Computer network; Wireless sensor network","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":[0.002937579,0.0005362667,0.001196225,0.0007635935,0.001902177,0.002606812,0.0015869,0.0008016626,0.0007427563],"category_scores_gemma":[0.00752655,0.0003554129,0.0006062352,0.00214783,0.001382239,0.004703611,0.003152681,0.001403912,0.0002712407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001371416,"about_ca_system_score_gemma":0.001668121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001192956,"about_ca_topic_score_gemma":0.001068243,"domain_scores_codex":[0.9961711,0.001293032,0.0003221077,0.0006837861,0.00106648,0.0004635256],"domain_scores_gemma":[0.9938939,0.002392101,0.0006985734,0.002200386,0.0006088389,0.0002060765],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00204592,0.0003295252,0.007597597,0.00039143,0.0002261421,0.0006413711,0.002071714,0.3129594,0.02534306,0.2404781,0.008326743,0.3995891],"study_design_scores_gemma":[0.00003278845,0.0001194275,0.0007075355,0.00001921796,0.00004698444,0.000225598,0.0002236052,0.8845507,0.0147025,0.09592418,0.003415617,0.00003177729],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08503863,0.000897656,0.9094678,0.001054948,0.00009155977,0.0001136468,0.0001257988,0.0009378581,0.002272145],"genre_scores_gemma":[0.8883051,0.0003149627,0.1098161,0.0002289382,0.00006359409,0.0001143147,0.00009701141,0.0000412549,0.001018774],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002937579,"threshold_uncertainty_score":0.01553559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06127437619987152,"score_gpt":0.3206475537306573,"score_spread":0.2593731775307858,"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."}}