{"id":"W4385486134","doi":"10.1109/tnse.2023.3301402","title":"A Quantum-Inspired Sensor Consolidation Measurement Approach for Cyber-Physical Systems","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Network Science and Engineering","topic":"Molecular Communication and Nanonetworks","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brandon University","funders":"Ministry of Science and ICT, South Korea; National Research Foundation of Korea; National Research Foundation","keywords":"Computer science; Scalability; Node (physics); Distributed computing; Real-time computing; Computer network; 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":[],"consensus_categories":[],"category_scores_codex":[0.0006453432,0.0001432146,0.0001521474,0.0001801103,0.000275748,0.0000964466,0.0001595626,0.00005159364,6.318439e-7],"category_scores_gemma":[0.000009151647,0.000147403,0.00004761595,0.001074876,0.00005607974,0.0001334587,0.000002014781,0.0001463101,0.000006773476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009466032,"about_ca_system_score_gemma":0.00003237996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003458821,"about_ca_topic_score_gemma":9.600166e-7,"domain_scores_codex":[0.9988936,0.00001257581,0.0001620434,0.0002070467,0.0003499415,0.0003747491],"domain_scores_gemma":[0.9994481,0.00006256955,0.00001664487,0.0002574519,0.0001014168,0.0001138837],"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":[0.000004255212,0.00001220789,6.147847e-7,0.00004732928,0.00001816785,3.545343e-7,0.00008857952,0.9845817,0.01215453,0.0003690855,0.0002519477,0.002471195],"study_design_scores_gemma":[0.0001932243,0.00002820323,0.00003526179,0.00004763058,0.00001697534,0.000004159013,0.00004507299,0.9962252,0.001670758,0.000006194763,0.00156137,0.0001659426],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01988789,0.0001620658,0.9780337,0.00002447652,0.0006521317,0.0003868584,0.000005149579,0.0006164595,0.0002312713],"genre_scores_gemma":[0.99752,0.0001576763,0.001933417,0.0000131385,0.0001072958,0.0002207412,0.000003700615,0.00002803623,0.00001604056],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.977632,"threshold_uncertainty_score":0.6010921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0330769608544508,"score_gpt":0.2292855689021431,"score_spread":0.1962086080476923,"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."}}