{"id":"W4394863277","doi":"10.2139/ssrn.4793284","title":"Is Natural Resource Abundance a Curse or an Opportunity? Economic Complexity, FDI, and Industrial Policies in Mozambique","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic and Technological Innovation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Download; Resource curse; Curse; Natural resource; Abundance (ecology); Resource (disambiguation); World Wide Web; Computer science; Business; Economics; Biology; Ecology; 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":[0.0004351821,0.0001450665,0.0003381978,0.0008865357,0.0007008784,0.001345273,0.0003183147,0.0003693225,0.002856889],"category_scores_gemma":[0.001411687,0.0001729244,0.0001977829,0.001584469,0.00120801,0.0007578452,0.0008473053,0.0007647933,0.00008125498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005539258,"about_ca_system_score_gemma":0.004119825,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5743654,"about_ca_topic_score_gemma":0.7280691,"domain_scores_codex":[0.9997111,0.00004336026,0.000008766505,0.00002144473,0.00001684157,0.0001984788],"domain_scores_gemma":[0.9993063,0.0002154799,0.0002774461,0.00002490384,0.00007821936,0.00009762782],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003626083,0.0001372545,0.875305,0.00043615,0.0003120304,0.001616331,0.005010473,0.008844284,0.002543604,0.06806105,0.002664381,0.0347069],"study_design_scores_gemma":[0.00003317159,0.00005396999,0.9771996,0.0001631855,0.00009932566,0.0001142571,0.005832687,0.00430392,0.0002612848,0.005023724,0.006893128,0.00002174539],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910923,0.001194687,0.000175181,0.00300601,0.000005850079,0.00001187952,0.0002440134,0.000004997047,0.004264987],"genre_scores_gemma":[0.9988545,0.0003908545,0.00006664886,0.00004810001,0.000003322245,0.000003662696,0.00003816705,8.352483e-7,0.0005939578],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5743654,"threshold_uncertainty_score":0.8562825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.120256127473192,"score_gpt":0.2942393991706422,"score_spread":0.1739832716974503,"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."}}