{"id":"W1974327978","doi":"10.2139/ssrn.274249","title":"Characterizing World Market Integration Through Time","year":2001,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Risk and Volatility Modeling","field":"Economics, Econometrics and Finance","cited_by":167,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Business; Economics","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":[0.001120779,0.0003942754,0.0004727735,0.001340771,0.0003576274,0.001988719,0.0004490844,0.0007270001,0.001942413],"category_scores_gemma":[0.006881376,0.0003668131,0.0004489524,0.001379428,0.0006651427,0.00373401,0.0011023,0.0007995634,0.0002363241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005687246,"about_ca_system_score_gemma":0.0002434772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00200332,"about_ca_topic_score_gemma":0.001910424,"domain_scores_codex":[0.9998226,0.00004197741,0.000009905588,0.00005439611,0.00002988449,0.00004133808],"domain_scores_gemma":[0.9976286,0.0009692173,0.0008896434,0.0002075371,0.0001308189,0.0001741896],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004934112,0.00021365,0.2071487,0.00007000875,0.0003893141,0.0007192821,0.0008946775,0.4837301,0.01301593,0.2267565,0.001545709,0.06502268],"study_design_scores_gemma":[0.00001130756,0.00004760048,0.03554587,0.00001079564,0.0000417582,0.0001294088,0.0001577568,0.9120535,0.001008132,0.05017127,0.0007986408,0.00002391283],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9193141,0.000196238,0.07657785,0.0002111588,0.00001680142,0.00001520803,0.0001975944,0.00008664979,0.003384377],"genre_scores_gemma":[0.9955558,0.0001235236,0.003607965,0.00001356306,0.00001523957,0.000008090365,0.0001536901,0.00002174959,0.0005003035],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00200332,"threshold_uncertainty_score":0.006498039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02132924522879276,"score_gpt":0.2248675607760153,"score_spread":0.2035383155472226,"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."}}