{"id":"W1487865438","doi":"","title":"Impact of trade liberalization and regional integration on firm behaviour, income levels, and industrialization","year":2006,"lang":"en","type":"dissertation","venue":"London School of Economics and Political Science Theses Online (London School of Economics and Political Science)","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economics; Industrialisation; Economic integration; Regional integration; International economics; Per capita income; Incentive; Trade barrier; Free trade; Gross domestic product; Position (finance); Market integration; Market access; International trade; European union; Macroeconomics; Geography; Market economy","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":[0.0009638563,0.0001320746,0.000340955,0.0007610538,0.0003202922,0.0019187,0.0002980372,0.0003465781,0.006324743],"category_scores_gemma":[0.005285055,0.0001102212,0.0004805186,0.001804821,0.0006675495,0.0008303144,0.001316404,0.0005749982,0.0003977826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008235356,"about_ca_system_score_gemma":0.0004413367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006631996,"about_ca_topic_score_gemma":0.007832972,"domain_scores_codex":[0.9990824,0.0003755296,0.00004352957,0.0001188935,0.0001235654,0.000256086],"domain_scores_gemma":[0.9921569,0.003624079,0.002809934,0.0002918406,0.0002752574,0.0008419806],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001655486,0.0001269939,0.9802066,0.00003016182,0.0001732073,0.000273006,0.0005529313,0.004615793,0.0004688615,0.002826261,0.0002090792,0.01035155],"study_design_scores_gemma":[0.00000399922,0.00005564572,0.9964299,0.00001323054,0.00003546228,0.00004769869,0.0009062491,0.001237926,0.0001250163,0.0005049906,0.0006351385,0.000004839112],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946009,0.0003745249,0.0001426123,0.0001444987,0.000002227085,0.000004572567,0.0001089154,0.000004448102,0.004617291],"genre_scores_gemma":[0.9992222,0.0001625158,0.00004716247,0.00001094526,0.000004725041,0.000001796952,0.00008364982,0.000001695929,0.0004652403],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006631996,"threshold_uncertainty_score":0.02115834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06784883198616593,"score_gpt":0.3068137128683076,"score_spread":0.2389648808821416,"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."}}