{"id":"W7017360910","doi":"","title":"AVANGRID Schedules Third Quarter 2020 Earnings Release and Conference Call - NYSE (NYSE0001) News","year":2020,"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); Period (music)","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":[0.001060165,0.001036767,0.000623235,0.001133322,0.001796076,0.004937428,0.0009424808,0.002442563,0.6321999],"category_scores_gemma":[0.002342401,0.0003911218,0.0007110585,0.0007682369,0.0002601277,0.00138025,0.00178933,0.002244164,0.596656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001134232,"about_ca_system_score_gemma":0.002759812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01944297,"about_ca_topic_score_gemma":0.06036184,"domain_scores_codex":[0.9995554,0.00002677119,0.00001124528,0.00004023376,0.0002648307,0.0001015335],"domain_scores_gemma":[0.9985447,0.00007330101,0.0000539834,0.0001006611,0.0006284332,0.0005989096],"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":[0.00003154432,0.00001990441,0.00007059857,0.00001063777,9.431216e-7,0.00001408958,0.000003122923,0.00002292634,0.00004036881,0.0002834501,0.9919962,0.007506201],"study_design_scores_gemma":[0.00002743481,0.00002765368,0.0008727526,0.00002573914,0.000002014921,0.0000108283,0.00002881452,0.0001512375,0.00009750308,0.0002940474,0.9984549,0.000007001059],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00171927,0.0007153883,0.0004878482,0.004964188,0.009482797,0.0002613,0.01490907,0.002487677,0.9649725],"genre_scores_gemma":[0.00104776,0.0001771183,0.0001188683,0.0004380638,0.0003938535,0.00004419525,0.003190422,0.0002684821,0.9943212],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3678001,"threshold_uncertainty_score":0.5246221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02908314813458768,"score_gpt":0.1998364034390176,"score_spread":0.1707532553044299,"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."}}