{"id":"W3122342867","doi":"10.1080/09638199.2014.931450","title":"Technology transfers and industry closures","year":2014,"lang":"en","type":"preprint","venue":"Journal of International Trade & Economic Development","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Productivity; Welfare; Economic welfare; Welfare economics; Economics; Economy; Market economy; Economic growth","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":[0.001287077,0.0003085951,0.0008603532,0.0009627774,0.00005887205,0.0001330355,0.0007228238,0.0006787083,0.0003031207],"category_scores_gemma":[0.0001107661,0.0003634412,0.0001923035,0.00003639358,0.0001165958,0.0002196349,0.0002132293,0.001412177,0.00006150689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006177723,"about_ca_system_score_gemma":0.0002899571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001224229,"about_ca_topic_score_gemma":0.00001142733,"domain_scores_codex":[0.9973218,0.00001861519,0.001856826,0.0005007403,0.00004906928,0.0002529151],"domain_scores_gemma":[0.9979644,0.00007209324,0.001556537,0.0002311701,0.00002388907,0.0001518888],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002454497,0.0003484099,0.7296247,0.00032404,0.003835615,0.00004533341,0.00177587,0.004338695,0.00004238362,0.2013167,0.01573886,0.04236389],"study_design_scores_gemma":[0.001806995,0.0001525359,0.1838279,0.000245174,0.00003236958,0.0002750772,0.0001163796,0.0005667969,0.0009268409,0.1177594,0.6933472,0.0009432944],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9619159,0.001956918,0.001160888,0.02070376,0.006079905,0.0001728453,0.0001351253,0.0000217253,0.007852906],"genre_scores_gemma":[0.9934239,0.0006659302,0.004468201,0.0003757943,0.00078946,0.00001320098,0.00001576568,0.00003380698,0.0002139107],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6776084,"threshold_uncertainty_score":0.9998817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02844226885443983,"score_gpt":0.2332721091257459,"score_spread":0.2048298402713061,"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."}}