{"id":"W7026793700","doi":"","title":"AVANGRID Schedules Fourth Quarter &amp;amp; Full Year 2022 Earnings Release and Conference Call","year":2023,"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); Duration (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":[0.0009400294,0.001102734,0.0009007311,0.001308713,0.002934703,0.005077514,0.001317007,0.002073871,0.8936793],"category_scores_gemma":[0.002765432,0.0006787947,0.001043743,0.0008761332,0.0003747584,0.001347458,0.002636313,0.001826833,0.8770168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001136723,"about_ca_system_score_gemma":0.002319464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01330236,"about_ca_topic_score_gemma":0.03706769,"domain_scores_codex":[0.9994234,0.0000476026,0.00001320152,0.00006473719,0.0002939811,0.0001570641],"domain_scores_gemma":[0.9977945,0.0001317857,0.00005163196,0.0001905609,0.0009258902,0.0009056776],"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":[0.00008878034,0.00003730301,0.00007973625,0.00002595279,0.000002075999,0.00002155349,0.00001246455,0.00005798425,0.0001569122,0.0004009635,0.9829386,0.01617766],"study_design_scores_gemma":[0.0000459501,0.00005564126,0.001036582,0.00002828305,0.000003299634,0.0000172003,0.00006762869,0.0002210068,0.0001822984,0.000422622,0.9979075,0.00001193106],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001181552,0.0001609285,0.0006626784,0.00106871,0.002473156,0.0002808741,0.00664528,0.003136533,0.9843903],"genre_scores_gemma":[0.0007583447,0.00003282695,0.00009743561,0.00008640595,0.000100747,0.0000395796,0.001218899,0.0004067673,0.997259],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1063207,"threshold_uncertainty_score":0.1516535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04542869775624644,"score_gpt":0.2204957596388792,"score_spread":0.1750670618826328,"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."}}