{"id":"W2048470655","doi":"10.2307/2672446","title":"Globalization, Growth and Marginalization","year":2000,"lang":"en","type":"article","venue":"Pacific Affairs","topic":"Indian Economic and Social Development","field":"Economics, Econometrics and Finance","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Globalization; Political science; Development economics; Economic geography; Economic system; Economics; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0003224067,0.0004009865,0.0003757449,0.002593517,0.0007437674,0.003530692,0.0004046757,0.0004362836,0.1200519],"category_scores_gemma":[0.004293613,0.000135544,0.0002098507,0.009065196,0.0007325508,0.002530897,0.0008901058,0.0008550595,0.01008798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001507042,"about_ca_system_score_gemma":0.001246532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009229889,"about_ca_topic_score_gemma":0.005284454,"domain_scores_codex":[0.9997513,0.00006619708,0.00001651224,0.00004563769,0.00008681152,0.00003356967],"domain_scores_gemma":[0.9984546,0.0007722804,0.0002132485,0.00008304512,0.0003655243,0.0001112803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00003490096,0.00002600986,0.006692593,0.0008304431,0.00002263926,0.0001077347,0.0007514318,0.001228532,0.0000629577,0.2930687,0.578352,0.1188219],"study_design_scores_gemma":[0.000007608327,0.0000197009,0.0211959,0.001442565,0.00001985789,0.0001103598,0.002002382,0.0004053231,0.00006896233,0.1301569,0.8445512,0.00001915364],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0130161,0.1687201,0.001764596,0.03648689,0.004013263,0.0001192251,0.02157767,0.000200254,0.7541019],"genre_scores_gemma":[0.3456906,0.3783092,0.003106765,0.002435061,0.00615087,0.0004372751,0.01965873,0.0002410391,0.2439705],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1200519,"threshold_uncertainty_score":0.4016137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009716491510763085,"score_gpt":0.1765312450176573,"score_spread":0.1668147535068942,"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."}}