{"id":"W4312737157","doi":"10.1109/tnse.2022.3227317","title":"Blockchain-Powered Tensor Meta-Learning-Driven Intelligent Healthcare System With IoT Assistance","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Network Science and Engineering","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Francis Xavier University","funders":"National Natural Science Foundation of China","keywords":"Computer science; Big data; Upload; Blockchain; Edge computing; Data modeling; Node (physics); Differential privacy; Health care; Artificial intelligence; Distributed computing; Computer security; Internet of Things; Data science; Database; Data mining; World Wide Web; Engineering","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":["open_science"],"consensus_categories":[],"category_scores_codex":[0.0009422572,0.0002264236,0.0002822082,0.0002991791,0.001246509,0.0001815666,0.006349193,0.00004522206,0.000008187161],"category_scores_gemma":[0.0001119034,0.0001988648,0.00005935144,0.002525957,0.0001502893,0.0002100557,0.0006405415,0.0007388585,0.000003151401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003920131,"about_ca_system_score_gemma":0.0001493881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004748378,"about_ca_topic_score_gemma":0.00001689916,"domain_scores_codex":[0.9975293,0.00005519424,0.0002399977,0.0007322254,0.0008001819,0.0006431229],"domain_scores_gemma":[0.9973751,0.0001313487,0.00008466454,0.002147483,0.0001048819,0.0001564795],"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":[0.000009489854,0.00002071075,0.00001499877,0.00003516729,0.00007017695,0.00002419679,0.0001031517,0.9931021,0.0002312525,0.001069815,0.0002897272,0.00502921],"study_design_scores_gemma":[0.0001117131,0.000267421,0.00007546633,0.00005599648,0.00003891717,0.0001041281,0.0001758233,0.996145,0.0006760765,0.00007096713,0.002013759,0.0002647065],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007644019,0.0004559237,0.9866601,0.003011193,0.0008081893,0.0002404273,0.00001133571,0.001123115,0.00004568613],"genre_scores_gemma":[0.9232901,0.00004073326,0.07634331,0.00008355312,0.00002442286,0.0001635225,3.953226e-7,0.00001716725,0.00003678276],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9156461,"threshold_uncertainty_score":0.999027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02416097740448868,"score_gpt":0.2288986787082659,"score_spread":0.2047377013037772,"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."}}