{"id":"W7095130029","doi":"","title":"their helpful comments and discussions. Thanks also to Katsumi Shimotsu, Christopher Ferrall, and my","year":2009,"lang":"en","type":"article","venue":"","topic":"Irish and British Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vector autoregression; Earnings; Order (exchange); Time series; Multivariate statistics; Series (stratigraphy); Consensus forecast","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":[0.008304913,0.001104427,0.002102493,0.002500964,0.001710675,0.002898984,0.001571619,0.001542497,0.2057205],"category_scores_gemma":[0.06473119,0.0004600569,0.000710362,0.004148022,0.0007560811,0.003798813,0.002167024,0.003063015,0.04580325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004192297,"about_ca_system_score_gemma":0.002406432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02185143,"about_ca_topic_score_gemma":0.03022008,"domain_scores_codex":[0.9954562,0.002115398,0.0003170427,0.0003686062,0.001527722,0.0002149806],"domain_scores_gemma":[0.92597,0.0355228,0.002791066,0.00191953,0.03039136,0.003405256],"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":[0.0001082193,0.00004085582,0.001680943,0.000186284,0.00001937976,0.0002445099,0.001310055,0.0003056138,0.000179677,0.005784969,0.9698943,0.02024516],"study_design_scores_gemma":[0.00008538949,0.00003316419,0.0085195,0.0003755905,0.00005413625,0.0003156627,0.007133633,0.002382745,0.0004927405,0.01355538,0.9669386,0.0001136079],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.01945858,0.01339071,0.01797541,0.714365,0.04698257,0.001099858,0.03721535,0.001668266,0.1478443],"genre_scores_gemma":[0.2889225,0.02514183,0.0395277,0.1074519,0.03997112,0.002001397,0.02135546,0.002681142,0.4729469],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7942795,"threshold_uncertainty_score":0.6882036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02255409723954366,"score_gpt":0.3092406314664196,"score_spread":0.286686534226876,"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."}}