{"id":"W4206505368","doi":"10.53910/26531313-e200673436-441100","title":"Globalization: Positive and negative issues","year":2006,"lang":"en","type":"article","venue":"Ekistics and the new habitat","topic":"Economic Zones and Regional Development","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Human settlement; Planner; Globalization; Urban planning; Management; Economic growth; Political science; Capital (architecture); Regional science; Geography; Public administration; Engineering; Economics; Civil engineering; Archaeology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001647484,0.00009530602,0.0002073285,0.00003266313,0.0001417213,0.00008798642,0.00005875749,0.00003711149,0.00003187758],"category_scores_gemma":[0.00003552981,0.00007428537,0.00002933023,0.0000543161,0.0001782252,0.0000523698,0.00005153365,0.00004380479,0.00005125805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002352062,"about_ca_system_score_gemma":0.00001078592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001071183,"about_ca_topic_score_gemma":0.0001250091,"domain_scores_codex":[0.9994188,0.000009036527,0.0002488265,0.0001883911,0.00001756032,0.0001173668],"domain_scores_gemma":[0.9996381,0.0001039711,0.0001129703,0.00008139233,0.00001839925,0.00004518109],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000176141,0.000008807441,0.006369118,0.000004687177,0.00002333637,0.000001253304,0.0002391047,0.00001956868,3.039735e-7,0.9854871,0.007375729,0.0004533795],"study_design_scores_gemma":[0.001060422,0.0000193634,0.07178862,0.0000112421,0.000006428948,0.000009989776,0.00006335043,0.001151893,0.000007736145,0.814016,0.1117334,0.0001315403],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1908865,0.07700147,0.03446209,0.1081363,0.002200429,0.001257367,0.0004428599,0.00009704216,0.585516],"genre_scores_gemma":[0.9840867,0.001675881,0.002237929,0.0006626666,0.0003068183,0.000005533559,0.00001754532,0.00001191932,0.01099503],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7932002,"threshold_uncertainty_score":0.302927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00955685705469309,"score_gpt":0.1956627730539313,"score_spread":0.1861059159992382,"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."}}