{"id":"W2605027696","doi":"10.1214/16-aoas1002","title":"Electricity price dependence in New York State zones: A robust detrended correlation approach","year":2017,"lang":"en","type":"article","venue":"The Annals of Applied Statistics","topic":"Electric Power System Optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Econometrics; Electricity; Detrended fluctuation analysis; Grid; Estimator; Electricity price; Computer science; Economics; Statistics; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.0004519231,0.0001714653,0.0002546469,0.0001156884,0.0001285011,0.00007733348,0.0004799227,0.00007659463,0.000007160458],"category_scores_gemma":[0.0001306881,0.0001541425,0.000022304,0.0002930542,0.00004285192,0.0001047261,0.00003594192,0.000239111,0.00001220127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004330999,"about_ca_system_score_gemma":0.00008814939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002037572,"about_ca_topic_score_gemma":0.0001418633,"domain_scores_codex":[0.998769,0.00002935701,0.0004037983,0.0001791808,0.0002902815,0.0003283891],"domain_scores_gemma":[0.9988666,0.0001744673,0.0002825843,0.0005380798,0.00007245247,0.00006583711],"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":[0.00007399255,0.00004171237,0.0002269253,0.0001128384,0.00004626012,0.00000154497,0.001110589,0.9619842,0.0002097574,0.01852815,0.004021719,0.01364233],"study_design_scores_gemma":[0.0004248454,0.00003712566,0.006963256,0.00002955173,0.00001988436,0.000003261767,0.00005008503,0.9818798,0.001494235,0.00871611,0.0001493371,0.0002324896],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00327006,0.0002217047,0.9817686,0.00002157463,0.0001129109,0.0003937643,0.00003915745,0.00007581488,0.01409639],"genre_scores_gemma":[0.947821,0.0002049918,0.05157713,0.00001867846,0.00003991878,0.000018513,0.00003125333,0.00003560421,0.0002529208],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9445509,"threshold_uncertainty_score":0.6285747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0574632283859776,"score_gpt":0.2638624869674593,"score_spread":0.2063992585814817,"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."}}