{"id":"W7062376123","doi":"","title":"Talen Energy Reports Third Quarter 2015 Results; Raises 2015 Guidance - Mergers and Acquisitions (MERGERAC) News","year":2015,"lang":"en","type":"other","venue":"","topic":"Adaptive optics and wavefront sensing","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Mergers and acquisitions; Energy (signal processing); High energy","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":[0.002163579,0.0007164546,0.0005512336,0.001667097,0.004150574,0.01051562,0.001118052,0.007811908,0.265865],"category_scores_gemma":[0.007193638,0.0005490273,0.0009389583,0.001012002,0.0009896848,0.002677868,0.002527179,0.005394171,0.1539124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003318631,"about_ca_system_score_gemma":0.008851203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03694837,"about_ca_topic_score_gemma":0.1059278,"domain_scores_codex":[0.9967259,0.0001290651,0.0000588887,0.0001620891,0.002373392,0.0005505584],"domain_scores_gemma":[0.9967189,0.0004529671,0.0001316099,0.0002326537,0.001726196,0.0007376307],"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":[0.00002672632,0.00002109813,0.0001121633,0.00001176624,0.000001791351,0.00003553307,0.00001421199,0.00002898667,0.00007416138,0.002248068,0.9916238,0.00580158],"study_design_scores_gemma":[0.00001442048,0.00001892094,0.0008849282,0.00003013028,0.000003447971,0.0000209392,0.00007381071,0.0001367384,0.0002212501,0.001079538,0.9975036,0.00001228275],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001948311,0.0007326242,0.00079184,0.03662417,0.01106454,0.000178024,0.00449851,0.002051704,0.9421102],"genre_scores_gemma":[0.004063051,0.0002148613,0.0002189869,0.007108422,0.0007626151,0.00003474968,0.001265821,0.0003188328,0.9860126],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.265865,"threshold_uncertainty_score":0.8894071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01225632538718408,"score_gpt":0.2576883674428362,"score_spread":0.2454320420556522,"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."}}