{"id":"W7018588698","doi":"","title":"Dominion Energy First Quarter Earnings Conference Call","year":2024,"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":"Dominion; Earnings; Quarter (Canadian coin); Energy (signal processing)","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":[0.0007084058,0.000736277,0.0005051418,0.001395631,0.001826486,0.005397198,0.0009916726,0.00307388,0.6789228],"category_scores_gemma":[0.002071809,0.0003256267,0.0005152262,0.0007218104,0.0003105104,0.001311213,0.001937292,0.001875861,0.5072294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001481981,"about_ca_system_score_gemma":0.002756831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01837343,"about_ca_topic_score_gemma":0.04666013,"domain_scores_codex":[0.9994481,0.00003127149,0.00001045142,0.00005968409,0.0003255089,0.0001249644],"domain_scores_gemma":[0.9991915,0.00007046647,0.00002902839,0.00006283289,0.0003455124,0.0003006376],"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":[0.0000207234,0.00002085671,0.00006449629,0.000008402334,0.00000121197,0.00001937175,0.000005819449,0.000031596,0.00003737486,0.001850691,0.98794,0.009999458],"study_design_scores_gemma":[0.00001655693,0.00001260139,0.0005934074,0.00003273118,0.000001839745,0.00001263676,0.00004578012,0.0001532523,0.00008436698,0.0009011426,0.9981388,0.000006872092],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0009152903,0.0003508067,0.0002353402,0.004698353,0.003920817,0.00006167878,0.002356152,0.0005957808,0.9868658],"genre_scores_gemma":[0.0007162709,0.00006026969,0.00002746135,0.0002501447,0.0001351557,0.000009059341,0.0002898391,0.00008848398,0.9984232],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3210772,"threshold_uncertainty_score":0.4579776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.028305895897846,"score_gpt":0.1920983897983919,"score_spread":0.163792493900546,"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."}}