{"id":"W6998833391","doi":"","title":"AVANGRID Schedules First 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); Work (physics); Incentive","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":["insufficient_payload"],"category_scores_codex":[0.001132166,0.001023828,0.0007868768,0.001398865,0.002052976,0.004640914,0.001433743,0.001988757,0.8274577],"category_scores_gemma":[0.002615404,0.0004496347,0.0008589735,0.0008308213,0.0002677829,0.00110339,0.002238137,0.001643513,0.7970233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00122468,"about_ca_system_score_gemma":0.002603449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01570574,"about_ca_topic_score_gemma":0.04191177,"domain_scores_codex":[0.9993889,0.00004879754,0.00001391316,0.000065917,0.0003297503,0.000152613],"domain_scores_gemma":[0.9979714,0.0001034881,0.0000498225,0.0001793353,0.0008583942,0.0008376515],"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":[0.00008405565,0.00002975415,0.00007551756,0.00001846952,0.00000184138,0.00001760268,0.000006474942,0.00005967838,0.0001122201,0.0004827773,0.9835888,0.01552278],"study_design_scores_gemma":[0.00003717607,0.00003936185,0.0009707007,0.00002599189,0.00000267895,0.00001083898,0.00004260567,0.000285422,0.0001667169,0.0005051296,0.9979042,0.000009277201],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001653006,0.0002934727,0.0008983064,0.001747243,0.004377624,0.0003416598,0.01354967,0.003561557,0.9735773],"genre_scores_gemma":[0.001134754,0.00005973867,0.0001398124,0.0001328897,0.0001729598,0.00004949214,0.003169275,0.0004476057,0.9946933],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1725423,"threshold_uncertainty_score":0.2461106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02376782580697128,"score_gpt":0.1862649270092436,"score_spread":0.1624971012022723,"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."}}