{"id":"W2902368732","doi":"10.1007/978-981-13-1507-7_12","title":"India’s Intra-industry Trade: Implication on Vertical Specialization, Environment and Employment","year":2018,"lang":"en","type":"book-chapter","venue":"Springer proceedings in business and economics","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"China; International economics; Liberalization; Promotion (chess); International trade; Business; Economics; Geography; Market economy; 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"],"consensus_categories":[],"category_scores_codex":[0.0002886465,0.0004470179,0.0007013635,0.0003475899,0.0001057099,0.0002427622,0.0001984059,0.0008301545,0.0004313095],"category_scores_gemma":[0.00002256688,0.0005797721,0.00006063881,0.00004305119,0.0002075788,0.0003153911,0.0001567082,0.0004303199,0.0002261976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00044046,"about_ca_system_score_gemma":0.00002437566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002708041,"about_ca_topic_score_gemma":0.0000122375,"domain_scores_codex":[0.9976531,0.000001133653,0.0009515097,0.0009866491,0.00002923985,0.0003783118],"domain_scores_gemma":[0.9992089,0.00001676403,0.0003742388,0.0002171908,0.00001778182,0.000165084],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003827574,0.00005001339,0.01943794,0.00009376004,0.00005916944,0.000001412447,0.0002242499,0.00002797503,0.000002087073,0.9776092,0.0007788062,0.00167713],"study_design_scores_gemma":[0.0009579018,0.0001295538,0.1776416,0.0001763103,0.00003125546,0.00002121116,0.00004915933,0.0003345508,0.00004552691,0.176432,0.6430661,0.001114883],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6694385,0.0009814971,0.00003432395,0.003173316,0.0007231542,0.0007598625,0.0001881915,0.00005225917,0.3246489],"genre_scores_gemma":[0.9159932,0.05566203,0.0009663269,0.002608137,0.003326148,0.0001676893,0.0001678524,0.0004726283,0.020636],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8011772,"threshold_uncertainty_score":0.9996654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0370740373001907,"score_gpt":0.1956333561423494,"score_spread":0.1585593188421587,"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."}}