{"id":"W4403453134","doi":"10.5539/jsd.v17n6p76","title":"Effects of FDI on the Growth of Agricultural Sector in Côte d&amp;#39;Ivoire: An Empirical Analysis Based on Toda-Yamamoto Causality Tests and ARDL Cointegration","year":2024,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cointegration; Cote d ivoire; Economics; Causality (physics); Agriculture; Econometrics; Biology; Humanities; Ecology; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001572618,0.0001394454,0.0004360839,0.0009233474,0.00005672008,0.00006838477,0.0001258004,0.00007374776,0.00003644794],"category_scores_gemma":[0.0004582305,0.00009354733,0.0001040941,0.001597735,0.00003962044,0.0002046303,0.00002273963,0.0002387244,0.00000303456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004008086,"about_ca_system_score_gemma":0.0001756085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008861868,"about_ca_topic_score_gemma":0.00004740063,"domain_scores_codex":[0.998509,0.00006765081,0.0009108645,0.0001900756,0.0001397897,0.0001825949],"domain_scores_gemma":[0.9987988,0.0003014184,0.0004528972,0.0001091888,0.0002806889,0.00005704006],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003981817,0.001295515,0.7202986,0.00170752,0.0009426663,0.0001442688,0.007847075,0.001685241,0.001015721,0.2614115,0.002662925,0.0005907385],"study_design_scores_gemma":[0.000407524,0.0002484603,0.9908162,0.0001118929,0.00002881921,0.000002958147,0.0005841622,0.0007564223,0.002560308,0.003299915,0.001058135,0.0001252093],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960446,0.0001630854,0.001382728,0.001755426,0.00008381074,0.000215051,0.000006486655,0.000005685368,0.0003431518],"genre_scores_gemma":[0.9988546,0.00001677301,0.0005642542,0.0002348734,0.00002767376,0.000009717091,0.000009300108,0.000008098601,0.0002747503],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2705176,"threshold_uncertainty_score":0.3814749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02328175238524215,"score_gpt":0.248856767389269,"score_spread":0.2255750150040269,"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."}}