{"id":"W1968109345","doi":"10.1111/j.1467-9361.2004.00238.x","title":"Foreign Aid, Innovation, and Technology Transfer in a North–South Model with Learning‐by‐Doing","year":2004,"lang":"en","type":"article","venue":"Review of Development Economics","topic":"International Development and Aid","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of Winnipeg; University of Manitoba","funders":"","keywords":"Technology transfer; Context (archaeology); Developing country; Transfer of learning; Consumption (sociology); Industrial organization; Transfer (computing); Business; Economics; Technology development; International economics; International trade; Computer science; Economic growth; Engineering; Manufacturing engineering; Artificial intelligence; Sociology","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":[0.001566124,0.001078294,0.001473683,0.001130522,0.002361458,0.004830105,0.001626465,0.004285112,0.02042971],"category_scores_gemma":[0.002933208,0.0005103105,0.00130293,0.001170816,0.004417974,0.00410878,0.003191888,0.002158621,0.001441484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004697875,"about_ca_system_score_gemma":0.002713271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01857855,"about_ca_topic_score_gemma":0.01072153,"domain_scores_codex":[0.999167,0.0003922702,0.00002224927,0.0001145062,0.00007819018,0.0002258993],"domain_scores_gemma":[0.9980579,0.0009193697,0.0003549939,0.00009126554,0.0001768675,0.0003995373],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001381144,0.0001508598,0.0008582207,0.00008675946,0.0000464173,0.0004968218,0.0002489298,0.2011051,0.0003888274,0.789308,0.002954512,0.004217564],"study_design_scores_gemma":[0.0004284469,0.0002395697,0.001140097,0.0001048844,0.0001188381,0.0002442747,0.0007497845,0.355956,0.0001776538,0.6258006,0.01496752,0.00007245759],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3711111,0.003746411,0.09987899,0.03092065,0.0005566036,0.0001870448,0.0005468544,0.0002439026,0.4928083],"genre_scores_gemma":[0.9579858,0.001279016,0.002284417,0.0003880463,0.0001232871,0.00008237555,0.0000353733,0.00002078882,0.03780095],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02042971,"threshold_uncertainty_score":0.06834418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01242617000459252,"score_gpt":0.2357390765302947,"score_spread":0.2233129065257021,"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."}}