{"id":"W3217447159","doi":"","title":"Power Line Communications: Principles, Standards and Applications from Multimedia to Smart Grid, 2nd Edition","year":2016,"lang":"en","type":"preprint","venue":"","topic":"Power Line Communications and Noise","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Power-line communication; Power grid; Smart grid; Telecommunications; Computer science; Electrical engineering; Multimedia; Engineering; Power (physics)","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003620693,0.0003427041,0.000358411,0.0002053991,0.0001613977,0.0001119183,0.001199554,0.0002984165,0.0003625815],"category_scores_gemma":[0.0001015364,0.0003118313,0.00008068105,0.0001438001,0.0001144392,0.0001157512,0.002093222,0.0005830267,0.0001053738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002443187,"about_ca_system_score_gemma":0.0001110543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001382652,"about_ca_topic_score_gemma":0.0004362723,"domain_scores_codex":[0.9984612,0.00006454167,0.0005665254,0.0003899518,0.0002703922,0.0002473734],"domain_scores_gemma":[0.995174,0.0003224771,0.00009200414,0.00383329,0.0003230508,0.0002551906],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002300963,0.002180992,0.008906444,0.001223153,0.003063233,0.000008859532,0.005418266,0.01027026,0.01454449,0.05205225,0.5565168,0.3455851],"study_design_scores_gemma":[0.0003760854,0.00002191569,0.002482017,0.0002730511,0.00004946529,0.000001251675,0.00004904894,0.01122002,0.0004698237,0.002851956,0.9816858,0.0005196133],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008649494,0.0192546,0.8414189,0.006874202,0.001917343,0.003987525,0.0222969,0.002328045,0.09327298],"genre_scores_gemma":[0.7213119,0.02779174,0.2313092,0.0006424967,0.002133144,0.00646157,0.008246827,0.0003526033,0.001750528],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7126624,"threshold_uncertainty_score":0.9999334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02470295869218835,"score_gpt":0.2812285991440984,"score_spread":0.2565256404519101,"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."}}