{"id":"W6976785763","doi":"10.60692/jns67-1cr72","title":"Do oil shocks affect the green bond market?","year":2023,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Predictive power; Bond; Shock (circulatory); Affect (linguistics); Power (physics); Government bond; Oil supply; Bond market","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001437929,0.0002634485,0.0003765273,0.00086363,0.0002185532,0.0020154,0.0003060417,0.0006592376,0.00348486],"category_scores_gemma":[0.01183414,0.0001579192,0.0002829433,0.0007765734,0.0004172955,0.002693169,0.0005376204,0.001156987,0.0006463123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004141074,"about_ca_system_score_gemma":0.0002711497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006331981,"about_ca_topic_score_gemma":0.00466344,"domain_scores_codex":[0.9998024,0.00005094533,0.0000149818,0.00004709804,0.00004186826,0.00004269726],"domain_scores_gemma":[0.9955123,0.002171091,0.001560412,0.0002294411,0.0003096397,0.0002170189],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008189634,0.0001760329,0.8908178,0.00007439653,0.0002371715,0.0005306807,0.0004200028,0.03853793,0.002378005,0.01404191,0.003605806,0.04836144],"study_design_scores_gemma":[0.00005234197,0.0002330485,0.6521977,0.00008470722,0.0001155185,0.0002000525,0.001322272,0.2957483,0.003420652,0.03944152,0.007108789,0.00007508588],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920443,0.000493274,0.002191593,0.001305263,0.00004425962,0.000009900154,0.0005383565,0.0000391109,0.003333843],"genre_scores_gemma":[0.9985784,0.0003296693,0.0001184451,0.00005949661,0.0000354902,0.000001714754,0.000268064,0.000008033015,0.0006006736],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006331981,"threshold_uncertainty_score":0.01259023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03664109554705514,"score_gpt":0.2029110041634116,"score_spread":0.1662699086163564,"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."}}