{"id":"W6988115284","doi":"","title":"Xcel Energy First Quarter 2014 Earnings Report - Mergers and Acquisitions (MERGERAC) News","year":2014,"lang":"en","type":"other","venue":"","topic":"Legal case studies and regulations","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Earnings; Mergers and acquisitions; 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":[],"consensus_categories":[],"category_scores_codex":[0.001917027,0.000502268,0.0003796348,0.0044825,0.001937825,0.005879424,0.001164239,0.003759726,0.2113593],"category_scores_gemma":[0.00666663,0.0004425233,0.0004297997,0.003740239,0.0004945919,0.001580026,0.001006111,0.002242212,0.09080589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002898912,"about_ca_system_score_gemma":0.004934097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04248225,"about_ca_topic_score_gemma":0.07825694,"domain_scores_codex":[0.9968693,0.0001610848,0.0001170857,0.0001473309,0.002318083,0.0003871878],"domain_scores_gemma":[0.9950935,0.0009667884,0.0005053785,0.0003518537,0.002699065,0.0003834837],"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":[0.00003500235,0.00005123092,0.0005139859,0.00004061975,0.000002871064,0.00005091754,0.00002383364,0.00006442721,0.0001155916,0.004428875,0.9796529,0.01501983],"study_design_scores_gemma":[0.00002696514,0.00002092806,0.008057739,0.000125506,0.000006451255,0.00004060621,0.00008464175,0.0002455556,0.0008536563,0.001142427,0.9893757,0.00001984216],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004974965,0.001442064,0.0006769411,0.01836509,0.002550986,0.0002526208,0.02721771,0.001809406,0.9427101],"genre_scores_gemma":[0.008976248,0.001063552,0.0004534064,0.002681043,0.0008296068,0.0001171744,0.01102415,0.0003866633,0.9744682],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2113593,"threshold_uncertainty_score":0.7070673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007290789364178825,"score_gpt":0.2558189865687954,"score_spread":0.2485281972046166,"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."}}