{"id":"W7053477019","doi":"","title":"Vistra Reports First Quarter 2020 Results Above Expectations and Reaffirms 2020 Guidance - Mergers and Acquisitions (MERGERAC) News","year":2020,"lang":"en","type":"other","venue":"","topic":"Laser Design and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Mergers and acquisitions","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":[0.001854465,0.000580351,0.0003747728,0.001343159,0.002490429,0.009863241,0.0008041396,0.005417539,0.2074663],"category_scores_gemma":[0.007638927,0.0003292161,0.0006066117,0.0009904692,0.0006320251,0.002005114,0.00115801,0.004352619,0.111872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003144589,"about_ca_system_score_gemma":0.008711133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03000628,"about_ca_topic_score_gemma":0.06966466,"domain_scores_codex":[0.9973201,0.0001245825,0.00004977527,0.0001392336,0.001882908,0.0004833598],"domain_scores_gemma":[0.9954532,0.000724661,0.0002483345,0.0002265618,0.002412852,0.0009342605],"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":[0.00003870605,0.0000252819,0.0002533915,0.00001648174,0.000002040258,0.00006804782,0.00001441118,0.00004420707,0.0002903391,0.003223026,0.9849236,0.01110049],"study_design_scores_gemma":[0.00001336789,0.00002644955,0.001260794,0.00002598603,0.000003326186,0.00005323669,0.00006990341,0.0002080936,0.0005517994,0.0007804024,0.9969962,0.00001061264],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002994753,0.0008144749,0.0005537539,0.02657363,0.009276729,0.000068794,0.004718242,0.00224182,0.9527578],"genre_scores_gemma":[0.008621384,0.0003902543,0.0002919352,0.006318103,0.0006596271,0.00001993138,0.002333341,0.0004914683,0.9808739],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2074663,"threshold_uncertainty_score":0.6940439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006099681194578195,"score_gpt":0.2094461132779067,"score_spread":0.2033464320833285,"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."}}