{"id":"W4323343629","doi":"10.2139/ssrn.4076339","title":"Seasonal Adjustment of Daily Data With CAMPLET","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations","funders":"","keywords":"Geography; Climatology; Environmental science; Geology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001165177,0.0004264773,0.0005090073,0.001474238,0.0004139139,0.001007584,0.0007295868,0.0007034902,0.005213632],"category_scores_gemma":[0.004634944,0.0003123745,0.0004597144,0.002344831,0.0002110768,0.0007131147,0.0004609094,0.0008107491,0.001502441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004112129,"about_ca_system_score_gemma":0.0004523941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01093409,"about_ca_topic_score_gemma":0.01222352,"domain_scores_codex":[0.9996161,0.00009488909,0.00002430865,0.0001272444,0.00009317596,0.00004419512],"domain_scores_gemma":[0.9985957,0.000442864,0.00009693554,0.0003517054,0.0004328647,0.00007998529],"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":[0.002011987,0.000519875,0.08031897,0.0003053746,0.0003501493,0.0006235106,0.0004864866,0.4376449,0.01091602,0.006239505,0.06757084,0.3930123],"study_design_scores_gemma":[0.00004802609,0.00007569484,0.03312357,0.00001486118,0.00002327712,0.00006271003,0.00005698607,0.9557819,0.002687472,0.001010803,0.007089127,0.00002555399],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7830638,0.0005773968,0.1726482,0.0009662931,0.001418987,0.0002305572,0.01199397,0.01294772,0.01615311],"genre_scores_gemma":[0.9316974,0.0001221303,0.05539063,0.00006765719,0.000155129,0.00006496583,0.008241598,0.0005118264,0.003748638],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01093409,"threshold_uncertainty_score":0.02174085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01503893303584137,"score_gpt":0.2251690122208468,"score_spread":0.2101300791850054,"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."}}