{"id":"W4245140171","doi":"10.1002/9781118786352.wbieg0740","title":"Free Trade Zone","year":2017,"lang":"en","type":"other","venue":"International Encyclopedia of Geography","topic":"Economic Zones and Regional Development","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Competition (biology); International trade; Business; Free trade zone; China; Distribution (mathematics); Rules of origin; Free trade; World class; Duty; Geography; Commerce; Engineering; Ecology; Political science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000152465,0.0002434171,0.0005301182,0.0008443907,0.00003917831,0.00003202682,0.001230157,0.0002556963,0.003683217],"category_scores_gemma":[0.00004616075,0.000273911,0.0003546133,0.00004707523,0.0001597748,0.00007784977,0.0001701829,0.0001548156,0.0002493859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003282763,"about_ca_system_score_gemma":0.00002797947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001262038,"about_ca_topic_score_gemma":0.0001753356,"domain_scores_codex":[0.9987422,0.000004459584,0.0005421152,0.0004365989,0.00007914949,0.0001954272],"domain_scores_gemma":[0.9980853,0.00002261969,0.001178553,0.0006229866,0.00001564311,0.00007488391],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000008048591,0.000101142,0.03364643,0.00004915644,0.0006149461,0.000009009676,0.00003617437,0.00000214307,2.142611e-7,0.105587,0.8566073,0.003338435],"study_design_scores_gemma":[0.0004575587,0.00001715784,0.02409425,0.000130143,0.000007894245,0.00000374081,0.000004147093,0.00001006845,0.000001022229,0.01191105,0.963071,0.0002919252],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00007356931,0.00551316,0.0003405111,0.001262355,0.004225075,0.0001620877,0.00186593,0.00004735472,0.98651],"genre_scores_gemma":[0.001773058,0.02959641,0.002454884,0.0001800796,0.001179792,0.00004557504,0.0002579977,0.0002458614,0.9642664],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1064637,"threshold_uncertainty_score":0.9999713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01325408060299953,"score_gpt":0.2111552162755865,"score_spread":0.1979011356725869,"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."}}