{"id":"W7051746549","doi":"","title":"Oil Prices and Stock Markets: An Empirical Analysis From Russia, Canada, USA and Japan","year":2019,"lang":"en","type":"article","venue":"AYBU AVESIS","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Stock (firearms); Oil price; Stock market; Empirical research; Volatility (finance)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001178197,0.0001307716,0.0002347798,0.00009798841,0.00008847674,0.0001015493,0.0001365314,0.00002922409,0.1134125],"category_scores_gemma":[0.000004208855,0.0001133239,0.00004032316,0.0002551701,0.0000360511,0.0000414253,0.0001255182,0.00009796025,0.00001621372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009103927,"about_ca_system_score_gemma":0.0001449982,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6649811,"about_ca_topic_score_gemma":0.3354349,"domain_scores_codex":[0.9988957,0.0000581748,0.0001712841,0.0003502546,0.0002894309,0.0002351266],"domain_scores_gemma":[0.9992175,0.0001691101,0.00005580587,0.0003105366,0.00003286133,0.0002141622],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000137471,0.00003148157,0.7243827,0.000006680743,0.000191799,8.203244e-7,0.0001191854,5.284045e-7,0.0002518968,0.00005900319,0.001540923,0.2734013],"study_design_scores_gemma":[0.0003169106,0.00003417252,0.955932,0.000005067187,0.0001424007,8.918386e-8,0.000521503,0.003381998,0.00009153268,0.00001694372,0.03940851,0.0001488722],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9463999,0.00006862832,0.00001836948,0.0009343691,0.00002374024,0.00006458494,0.00008568586,0.00000534568,0.05239938],"genre_scores_gemma":[0.9825165,0.00001128534,0.0003193995,0.0001176405,0.00005193459,0.00001314359,0.00005647318,0.000006978666,0.01690662],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3295463,"threshold_uncertainty_score":0.8873979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008907351699501475,"score_gpt":0.2564154952951918,"score_spread":0.2475081435956903,"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."}}