{"id":"W4381194838","doi":"10.3386/w31358","title":"Globalization, Structural Change and International Comovement","year":2023,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"World Trade Organization Law","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Globalization; Structural change; Economics; Economic geography; Macroeconomics; Market economy","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":[0.0008510379,0.0003764509,0.0004835311,0.002362963,0.0005215192,0.001856632,0.0003571805,0.0005619836,0.003516202],"category_scores_gemma":[0.004006391,0.0001365115,0.0006218028,0.005039362,0.001198619,0.001801857,0.001442222,0.0006337412,0.0003658965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001472726,"about_ca_system_score_gemma":0.0006343503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006650894,"about_ca_topic_score_gemma":0.005886837,"domain_scores_codex":[0.9996929,0.00009195691,0.00001504939,0.00006440999,0.00004997546,0.00008576583],"domain_scores_gemma":[0.9976397,0.0007613277,0.001026288,0.0001707646,0.0001768612,0.0002252211],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000225259,0.0003751495,0.4564864,0.0002371401,0.0004168132,0.001639111,0.002734786,0.1325336,0.001222385,0.3050955,0.009079401,0.08995443],"study_design_scores_gemma":[0.00006699004,0.0002468725,0.4000537,0.0001811823,0.000252592,0.0006475283,0.003844965,0.184013,0.001415224,0.3720346,0.03714641,0.00009709947],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9571165,0.00333584,0.01078849,0.002548822,0.00007445639,0.00002109656,0.0005527029,0.00006635406,0.02549587],"genre_scores_gemma":[0.9961787,0.001483219,0.0006347474,0.00005912218,0.00004690261,0.00001068873,0.0002595761,0.00001544904,0.001311538],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006650894,"threshold_uncertainty_score":0.01322436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5689955058989017,"score_gpt":0.5749911414702827,"score_spread":0.005995635571381053,"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."}}