{"id":"W7026499276","doi":"","title":"Acciona (OTCMKTS:ACXIF) Cut to Sector Perform at Royal Bank of Canada","year":2022,"lang":"en","type":"other","venue":"","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Work (physics); Payment; Public sector","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":[0.001004518,0.001076611,0.0009624651,0.002340906,0.005334368,0.00836656,0.001479228,0.004283849,0.693457],"category_scores_gemma":[0.004155719,0.0007875031,0.0008553304,0.002033858,0.000883539,0.001443007,0.002352076,0.003106832,0.3556825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02229636,"about_ca_system_score_gemma":0.05573923,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8840446,"about_ca_topic_score_gemma":0.9407145,"domain_scores_codex":[0.9980326,0.00004915335,0.00004275399,0.0001732622,0.001080777,0.0006215148],"domain_scores_gemma":[0.9954408,0.0001886793,0.00009323018,0.0001762445,0.003049759,0.001051233],"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":[0.00004410912,0.00002163239,0.0003662437,0.00005021538,0.000004437321,0.00003276042,0.0000302241,0.000110629,0.0001043043,0.006669674,0.9740136,0.01855229],"study_design_scores_gemma":[0.00001802948,0.000008451032,0.002205601,0.00006618123,0.000003434306,0.00001576611,0.00008612213,0.0002738269,0.000169824,0.001123778,0.996014,0.00001500389],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001588519,0.001088056,0.0004746873,0.008171702,0.001707889,0.000186289,0.0324258,0.001588237,0.9527688],"genre_scores_gemma":[0.001480077,0.0001302572,0.000129288,0.0003331856,0.00003966948,0.00001338651,0.00160453,0.000206827,0.9960627],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8840446,"threshold_uncertainty_score":0.4372463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03700148212785064,"score_gpt":0.1876653438301528,"score_spread":0.1506638617023022,"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."}}