{"id":"W4391542457","doi":"10.3390/economies12020041","title":"On the Dynamic Changes in the Global Stock Markets’ Network during the Russia–Ukraine War","year":2024,"lang":"en","type":"article","venue":"Economies","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundação para a Ciência e a Tecnologia","keywords":"Stock (firearms); Stock market; Financial market; Financial crisis; Stock market bubble; Business; Financial economics; Economics; Geography; Finance; Macroeconomics","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":[],"consensus_categories":[],"category_scores_codex":[0.0003898246,0.00008931833,0.0001178676,0.001491935,0.0002643407,0.0005872084,0.0001350865,0.0001648432,0.0008008879],"category_scores_gemma":[0.002557594,0.0000606033,0.0001203963,0.001473218,0.0002656142,0.0007970629,0.0004236022,0.0001629602,0.0001097979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004406701,"about_ca_system_score_gemma":0.0001818402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007020473,"about_ca_topic_score_gemma":0.008145343,"domain_scores_codex":[0.9998413,0.00004896772,0.00001308221,0.00003795106,0.00002915982,0.00002935675],"domain_scores_gemma":[0.999246,0.0002746421,0.0002679568,0.00003340128,0.0001218805,0.00005625493],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001598863,0.00004717018,0.9103954,0.00009203504,0.0001187131,0.0007612141,0.003651661,0.02522187,0.002690867,0.007610526,0.002076178,0.04717457],"study_design_scores_gemma":[0.000003847978,0.00004085468,0.953937,0.00004222336,0.00004160293,0.0002078558,0.00366238,0.0365961,0.0004984709,0.002051841,0.002903283,0.00001449586],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980185,0.00009622879,0.00055675,0.00008112284,0.000003581998,0.000004307126,0.0002607423,0.000004574207,0.0009742338],"genre_scores_gemma":[0.9992316,0.00009467039,0.0002486559,0.000004634985,0.000003149495,0.000004090945,0.000277572,0.000001190964,0.0001345258],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007020473,"threshold_uncertainty_score":0.01395923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01409537012955555,"score_gpt":0.2036856130263989,"score_spread":0.1895902428968434,"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."}}