{"id":"W6989446010","doi":"","title":"AVANGRID Schedules Third Quarter 2022 Earnings Release and Conference Call","year":2022,"lang":"en","type":"other","venue":"","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Earnings; Quarter (Canadian coin); Earnings management","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":[0.001192913,0.001043129,0.0008112686,0.001390147,0.002202035,0.005143463,0.001415906,0.002220015,0.8146129],"category_scores_gemma":[0.002523101,0.0004489986,0.0009363689,0.0008329417,0.0002858557,0.001121103,0.002376262,0.001764219,0.7913073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001222498,"about_ca_system_score_gemma":0.002671096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01637071,"about_ca_topic_score_gemma":0.04331496,"domain_scores_codex":[0.999369,0.00004984391,0.00001430947,0.00006725876,0.0003398132,0.0001599221],"domain_scores_gemma":[0.9980108,0.00009659204,0.00004745016,0.0001708671,0.0008388089,0.0008355379],"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":[0.00008380263,0.00003183629,0.00007917705,0.00001834957,0.000001962976,0.00001953135,0.000006954777,0.00005630171,0.0001096142,0.000500643,0.9844014,0.01469047],"study_design_scores_gemma":[0.00003629431,0.00004097596,0.0009611181,0.00002697951,0.000002847348,0.00001160683,0.00004855034,0.00027479,0.0001508783,0.0004805678,0.9979563,0.000009181384],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001731113,0.0003275068,0.0008873813,0.002042136,0.005310074,0.0003532855,0.01156279,0.003267227,0.9745184],"genre_scores_gemma":[0.001039216,0.00006022902,0.0001197244,0.000141999,0.0001803989,0.00004711874,0.002439005,0.0003718883,0.9956005],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8146129,"threshold_uncertainty_score":0.2644322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02516420841118844,"score_gpt":0.1942416856797169,"score_spread":0.1690774772685285,"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."}}