{"id":"W7054638707","doi":"","title":"AES First Quarter 2024 Earnings: EPS Beats Expectations, Revenues Lag","year":2024,"lang":"en","type":"other","venue":"","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Lag; Quarter (Canadian coin); Revenue; Hodrick–Prescott filter","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006549091,0.0008326977,0.0004253973,0.0009279011,0.001118238,0.005796236,0.0005766843,0.002706992,0.3394623],"category_scores_gemma":[0.004088161,0.0002459733,0.0004190383,0.0009543648,0.0004012161,0.001551443,0.001260054,0.002169676,0.2447919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002658274,"about_ca_system_score_gemma":0.00340675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02014614,"about_ca_topic_score_gemma":0.02250174,"domain_scores_codex":[0.9994032,0.00003582543,0.00002102472,0.00005270724,0.0003497583,0.0001375296],"domain_scores_gemma":[0.9987643,0.00007607404,0.00008771137,0.00006159067,0.0006415202,0.0003688164],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007392572,0.00001264604,0.0002120899,0.0000183073,0.000001631658,0.00002861848,0.000005339108,0.0001797578,0.00007053947,0.004496254,0.9775652,0.01733563],"study_design_scores_gemma":[0.00002604948,0.00002651431,0.001625586,0.00004630551,0.000003012248,0.00003468864,0.00004365872,0.000486551,0.0002862776,0.002790711,0.9946223,0.000008260208],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003374692,0.0008660564,0.0005565617,0.01337655,0.007869115,0.000045291,0.01532715,0.001405877,0.9571788],"genre_scores_gemma":[0.01139637,0.0004380349,0.0001860379,0.00129163,0.0005323254,0.00002592639,0.003681548,0.0003576799,0.9820904],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3394623,"threshold_uncertainty_score":0.9421768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008424549564886991,"score_gpt":0.2678964597313141,"score_spread":0.2594719101664271,"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."}}