{"id":"W2801232068","doi":"10.1111/caje.12331","title":"Total factor productivity spillovers from trade reforms in India","year":2018,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Department for International Development, UK Government","keywords":"Total factor productivity; Economics; Productivity; Welfare economics; Economy; Macroeconomics","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":[0.0006531416,0.000211703,0.0003621902,0.001762511,0.0002866619,0.00124311,0.000244411,0.000241184,0.002815083],"category_scores_gemma":[0.003175749,0.0001454058,0.0006560129,0.003081239,0.0006697975,0.0004265015,0.0008866751,0.0004514397,0.0001975866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001240594,"about_ca_system_score_gemma":0.000739813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03645575,"about_ca_topic_score_gemma":0.02660774,"domain_scores_codex":[0.9993069,0.0001904518,0.00004183143,0.0001173011,0.0001867955,0.0001566708],"domain_scores_gemma":[0.9944497,0.002263774,0.001915847,0.0006007871,0.0006011797,0.0001687449],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003870792,0.0001295264,0.9019509,0.0003869072,0.0006664742,0.0007910736,0.001354937,0.03009795,0.006692566,0.00502198,0.001497817,0.05102278],"study_design_scores_gemma":[0.000006549015,0.00008003047,0.9927323,0.0000283667,0.0001202087,0.00008362626,0.0007241128,0.001963913,0.001285239,0.0008135533,0.002148614,0.00001350548],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931332,0.0005280884,0.0008066176,0.0002629221,0.000005598985,0.00001185977,0.001109281,0.00003711555,0.004105269],"genre_scores_gemma":[0.9987866,0.0002706116,0.0001836195,0.0000250454,0.00000764389,0.000004180948,0.0003346749,0.000001910828,0.0003857474],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03645575,"threshold_uncertainty_score":0.07248712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1712460930595985,"score_gpt":0.1735579470759281,"score_spread":0.002311854016329634,"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."}}