{"id":"W7025692049","doi":"","title":"Xcel Energy First Quarter 2014 Earnings Report - Energy (ENERGY01) News","year":2014,"lang":"en","type":"other","venue":"","topic":"Oral History, Memory, Narrative Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Earnings; Energy (signal processing); Quarter (Canadian coin); Energy consumption","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":[],"category_scores_codex":[0.0007483877,0.0005584719,0.0003531291,0.002889159,0.001748536,0.007258653,0.0009954225,0.002144502,0.5284066],"category_scores_gemma":[0.003145492,0.0003328361,0.0003642802,0.003583998,0.0003843164,0.00197256,0.001181577,0.00171157,0.3123634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002354676,"about_ca_system_score_gemma":0.003558523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03865348,"about_ca_topic_score_gemma":0.07430089,"domain_scores_codex":[0.9992282,0.00003682309,0.00002127412,0.00004917329,0.0005353272,0.0001291554],"domain_scores_gemma":[0.9985279,0.0001394949,0.00009984097,0.0001275055,0.0009116647,0.0001934842],"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":[0.00001528118,0.00001571221,0.00008444492,0.00001914411,8.364245e-7,0.00001127974,0.000008620309,0.00002190501,0.00003084647,0.001849446,0.9870486,0.01089387],"study_design_scores_gemma":[0.000004663543,0.000005027386,0.0009540872,0.00004368413,0.000001396216,0.000008005932,0.00005210496,0.00004585389,0.0001915331,0.0004733518,0.9982153,0.000004983903],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0008306642,0.0005386589,0.0002288597,0.004473401,0.001811866,0.00006294237,0.02135443,0.0009627735,0.9697365],"genre_scores_gemma":[0.001345729,0.0003757993,0.00009064967,0.0002785278,0.0002006054,0.00002698988,0.004766686,0.000287446,0.9926276],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5284066,"threshold_uncertainty_score":0.6726708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01199831952772454,"score_gpt":0.1990799970194344,"score_spread":0.1870816774917099,"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."}}