{"id":"W7053605183","doi":"","title":"Xcel Energy First Quarter 2014 Earnings Report - NYSE (NYSE0001) News","year":2014,"lang":"en","type":"other","venue":"","topic":"Particle Accelerators and Free-Electron Lasers","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00008598294,0.0004120512,0.0004441432,0.0001755704,0.00004034031,0.00006669306,0.000236348,0.0003729636,0.007999863],"category_scores_gemma":[0.00001132349,0.0003764029,0.0001401826,0.0001150619,0.00003653103,0.00006073761,0.00002637832,0.0002300758,0.0014588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005429149,"about_ca_system_score_gemma":0.00002011858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002143476,"about_ca_topic_score_gemma":0.003774735,"domain_scores_codex":[0.9984947,0.00001940682,0.0003631792,0.0003875675,0.0002041182,0.0005310595],"domain_scores_gemma":[0.9989743,0.00002325376,0.0001158859,0.0006745771,0.00001645324,0.0001955623],"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":[0.00000218807,0.00001280414,0.0007019567,0.00003242538,0.00009042398,0.00005833617,0.0000124212,0.000212479,0.0001863174,0.000268663,0.9974084,0.001013617],"study_design_scores_gemma":[0.0002497948,0.00003802081,0.00009828836,0.00003341615,0.00003051826,0.00003275995,0.000006582107,0.004100978,0.0005572928,0.00001984883,0.9943367,0.0004958168],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003199928,0.0005569207,0.01777929,0.0001137425,0.0006962577,0.0001051035,0.000005446418,0.001513266,0.97891],"genre_scores_gemma":[0.0428373,0.0004885474,0.0007670545,0.0003410754,0.001425728,0.0000748838,0.00008955661,0.001056075,0.9529198],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04251731,"threshold_uncertainty_score":0.9998688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004568143004478933,"score_gpt":0.1881710637810296,"score_spread":0.1836029207765507,"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."}}