{"id":"W2588007156","doi":"","title":"Increased Optimism in Financial Markets Following US Elections","year":2016,"lang":"en","type":"article","venue":"WIFO Monatsberichte (monthly reports)","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Referendum; Pace; Unemployment; Economics; Brexit; Tourism; Quarter (Canadian coin); Financial market; Economic policy; International economics; Development economics; Political science; Finance; Economic growth; Geography; European union","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001590197,0.0003666334,0.0007514769,0.0006431495,0.0001672299,0.0000744038,0.0002651513,0.0003003945,0.0005247347],"category_scores_gemma":[0.003228771,0.0003655827,0.0003490115,0.0008555801,0.00006999704,0.0006423065,0.0001310158,0.0002801252,0.0002357627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000854203,"about_ca_system_score_gemma":0.0002739668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00359398,"about_ca_topic_score_gemma":0.0005351507,"domain_scores_codex":[0.9964891,0.00004720425,0.001497356,0.0009819226,0.0001400398,0.0008443967],"domain_scores_gemma":[0.9977955,0.000278423,0.0007546957,0.0008558146,0.0000454945,0.0002700714],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001099999,0.0002690934,0.978564,0.00002641018,0.0001088935,0.001930731,0.0002470174,0.0003113511,0.0009637966,0.003108989,0.01044638,0.003913315],"study_design_scores_gemma":[0.001373169,0.00007061534,0.7261286,0.00008814267,0.00002253114,0.00009354787,0.000009736322,0.0007799276,0.0002328621,0.01483998,0.2555808,0.0007800877],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9385411,0.001475749,0.002016281,0.00151647,0.001607823,0.0005370961,0.00008061004,0.0001971577,0.0540277],"genre_scores_gemma":[0.9949872,0.00009303711,0.0006600716,0.001009842,0.0002011391,0.0001165747,0.00001571741,0.00007128317,0.002845157],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2524354,"threshold_uncertainty_score":0.9998796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01857888957682229,"score_gpt":0.2307061633212006,"score_spread":0.2121272737443783,"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."}}