{"id":"W2793365184","doi":"","title":"Электрические нагрузки Рязанского государственного радиотехнического университета за август – октябрь 2017 года // Electric loads of the Ryazan State Radio Engineering University for August – October 2017","year":2018,"lang":"ru","type":"article","venue":"Interactive science","topic":"Advanced Signal Processing Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Standard deviation; Telecommunications; Mathematics; Statistics; Meteorology; Electrical engineering; Geodesy; Engineering; Physics; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001292063,0.0008055532,0.0007798948,0.0009428455,0.0009903769,0.0003052453,0.003679647,0.0002484224,0.000112354],"category_scores_gemma":[0.001249656,0.0007610504,0.0003720177,0.002871279,0.001857076,0.003035443,0.0008334531,0.001095008,0.00006988403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001373638,"about_ca_system_score_gemma":0.0008323955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002546001,"about_ca_topic_score_gemma":0.00008868478,"domain_scores_codex":[0.9951779,0.0001089889,0.0007679529,0.001300447,0.001033021,0.001611698],"domain_scores_gemma":[0.9953171,0.0006218232,0.0007662043,0.001424085,0.001497403,0.0003733785],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006328514,0.0002942671,0.0006174948,0.0005767968,0.0003008959,0.00004937114,0.00427966,0.01077614,0.9530355,0.001969383,0.01202686,0.01544083],"study_design_scores_gemma":[0.001061968,0.0007607815,0.005212472,0.001567098,0.0001671248,0.00008260027,0.0004150692,0.1201131,0.8438582,0.00201959,0.0233576,0.001384313],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3656874,0.001235763,0.6071393,0.0005097907,0.005833191,0.002755834,0.0005000418,0.001156444,0.01518217],"genre_scores_gemma":[0.985697,0.0001272549,0.01144509,0.00007222112,0.0003353973,0.00002019359,0.000004901676,0.0001153672,0.00218253],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6200097,"threshold_uncertainty_score":0.9994841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01232169450619092,"score_gpt":0.2684983685577423,"score_spread":0.2561766740515514,"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."}}