{"id":"W4408433805","doi":"10.1093/ijlct/ctae224","title":"Empowering smart city through smart grid communication and measurement technology","year":2024,"lang":"en","type":"article","venue":"International Journal of Low-Carbon Technologies","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Smart grid; Smart city; Information and Communications Technology; Computer science; Telecommunications; Internet of Things; Architectural engineering; Electrical engineering; Engineering; Embedded system; World Wide Web","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":[0.0003652522,0.0001486738,0.0001886602,0.0005050392,0.00004127726,0.0001087789,0.0007264832,0.0001932252,0.000006826438],"category_scores_gemma":[0.0002291123,0.0001290529,0.00006787134,0.000276595,0.0002411242,0.0003038118,0.0002096279,0.0006286136,0.000003250888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001994234,"about_ca_system_score_gemma":0.00003635759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001137915,"about_ca_topic_score_gemma":0.00002288044,"domain_scores_codex":[0.998803,0.00001423603,0.0004032351,0.0001330763,0.0004834951,0.0001629598],"domain_scores_gemma":[0.9993666,0.00006170147,0.00007954764,0.000213854,0.0002579193,0.00002032811],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003382254,0.000656578,0.0682797,0.001475269,0.005852165,0.002237134,0.007195665,0.009663816,0.3414949,0.07005696,0.01369693,0.4790527],"study_design_scores_gemma":[0.001912354,0.0005475015,0.009647886,0.007435012,0.0001852223,0.003038488,0.00726441,0.03815376,0.6463828,0.1203994,0.1635142,0.00151895],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9473779,0.03563504,0.002953575,0.006850074,0.003732539,0.0001098889,0.000006398783,0.001303177,0.002031382],"genre_scores_gemma":[0.990772,0.007558667,0.001528566,0.00001631014,0.00009322686,0.000007618638,9.511498e-7,0.00001587221,0.000006763192],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4775337,"threshold_uncertainty_score":0.5262623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01644003313363229,"score_gpt":0.2662935654852325,"score_spread":0.2498535323516002,"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."}}