{"id":"W1518492907","doi":"10.3386/w14079","title":"Estimating the Productivity Selection and Technology Spillover Effects of Imports","year":2008,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"Innovation, Science and Economic Development Canada","funders":"","keywords":"Spillover effect; Productivity; Selection (genetic algorithm); Econometrics; Economics; Agricultural economics; International trade; Business; Computer science; Microeconomics; Macroeconomics; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002981967,0.0008274406,0.0008260447,0.002363726,0.0004338045,0.001648522,0.0008613027,0.00135877,0.006155071],"category_scores_gemma":[0.01558566,0.0005511574,0.001938423,0.002773994,0.0007209387,0.001170478,0.001226781,0.001510159,0.00100724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001139463,"about_ca_system_score_gemma":0.001159234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02417689,"about_ca_topic_score_gemma":0.009874376,"domain_scores_codex":[0.9984689,0.000614988,0.00009519318,0.0003492108,0.0001450465,0.0003265048],"domain_scores_gemma":[0.9772851,0.01708465,0.003397112,0.00111966,0.0005984541,0.0005150807],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004342449,0.0004776767,0.8934661,0.0001024114,0.000657047,0.0005999365,0.0003087657,0.07504524,0.0006448464,0.003734564,0.001511209,0.02301812],"study_design_scores_gemma":[0.0003591884,0.001025659,0.7673506,0.0000790366,0.0009748596,0.0003210476,0.001698136,0.209275,0.0039438,0.01035857,0.004532665,0.00008132787],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9889736,0.0002565972,0.00635031,0.0001958076,0.0000109061,0.00008074983,0.001980404,0.00007094819,0.002080695],"genre_scores_gemma":[0.9921256,0.0002330365,0.002688067,0.00003483538,0.00003241148,0.00006788308,0.002959913,0.00001242574,0.001845903],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02417689,"threshold_uncertainty_score":0.04807234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2322411680106775,"score_gpt":0.4081401438373928,"score_spread":0.1758989758267153,"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."}}