{"id":"W2956259548","doi":"10.18280/mmep.020101","title":"THE PROPORTION OF ENERGY CONSUMPTION STRUCTURE PREDICTION BASED ON MARKOV CHAIN","year":2015,"lang":"en","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Markov chain; Energy consumption; Consumption (sociology); Markov model; Computer science; Econometrics; Mathematics; Statistics; Engineering; Sociology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002728782,0.0001412985,0.0001360711,0.00007151779,0.00003628992,0.00002987268,0.00006612497,0.00006877894,0.000003650189],"category_scores_gemma":[0.0000224443,0.0001048532,0.00002573322,0.00007878875,0.00002532653,0.00004506609,0.00001377365,0.0001016218,0.000001394915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004397696,"about_ca_system_score_gemma":0.00000497871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002005511,"about_ca_topic_score_gemma":4.611804e-7,"domain_scores_codex":[0.9991825,0.00001050499,0.0002640131,0.000119181,0.0002493316,0.0001744848],"domain_scores_gemma":[0.9996159,0.00006261983,0.0000293259,0.0001824639,0.00003305639,0.00007660843],"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":[0.000006044617,0.0000110186,0.00001874586,0.0003210176,0.00001860659,3.445416e-7,0.00005480512,0.9877638,0.000159421,0.01091,0.00006476521,0.0006714287],"study_design_scores_gemma":[0.000189066,0.00004499965,0.00002185131,0.0001549798,0.00001584574,0.000002103216,0.000005739744,0.9947981,0.0007580885,0.003242784,0.0006673767,0.00009910789],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04379545,0.0001689649,0.9550285,0.00003564439,0.0002187234,0.0001170321,0.000004063181,0.0002510113,0.0003806282],"genre_scores_gemma":[0.9928456,0.00006096701,0.006922958,0.000004895163,0.00005291533,0.00003834583,0.000009967845,0.00003189195,0.00003248752],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9490501,"threshold_uncertainty_score":0.4275791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01810740933340087,"score_gpt":0.1810876993335276,"score_spread":0.1629802900001268,"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."}}