{"id":"W4253973935","doi":"10.1109/cjece.2013.6544461","title":"Canadian Journal of Electrical and Computer Engineering - Cover","year":2013,"lang":"en","type":"article","venue":"Canadian Journal of Electrical and Computer Engineering","topic":"Power Line Communications and Noise","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Cover (algebra); Computer science; Engineering; Mechanical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001804958,0.0002346722,0.0004045402,0.0008645683,0.00008291581,0.0002242744,0.0003415971,0.0001255523,0.00003776707],"category_scores_gemma":[0.00005031849,0.000223862,0.00009967871,0.0004132608,0.00002703159,0.0003173452,0.00001880332,0.0007304554,0.000004411727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002406067,"about_ca_system_score_gemma":0.0004247872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002491013,"about_ca_topic_score_gemma":0.001009083,"domain_scores_codex":[0.9986377,0.00001926553,0.0005541706,0.0001050945,0.0001250884,0.0005587271],"domain_scores_gemma":[0.997884,0.0001623936,0.00008028689,0.0001533021,0.0002036776,0.001516286],"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":[0.00001921654,0.00007385608,0.02306032,0.0003044881,0.001312711,0.001122646,0.001633631,0.7356973,0.002740948,0.006589354,0.05992034,0.1675252],"study_design_scores_gemma":[0.0004586415,0.000254361,0.02700734,0.0001181675,0.00003844174,0.001457069,0.000002245271,0.9390087,0.0001292624,0.0000584201,0.03114328,0.0003241033],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.702152,0.01668628,0.2792762,0.000377811,0.001182529,0.0001687383,0.000007332573,0.00004123394,0.0001078132],"genre_scores_gemma":[0.9896745,0.0002241581,0.009393222,0.00008665686,0.0005664895,0.000001720181,0.000001299926,0.00003850767,0.00001343473],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2875225,"threshold_uncertainty_score":0.9128826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003855185546095418,"score_gpt":0.152982416958881,"score_spread":0.1491272314127855,"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."}}