{"id":"W2625300325","doi":"","title":"Is There Any Relationship Between Agricultural Performance and Inclusive Growth Iin Nigeria","year":2017,"lang":"en","type":"article","venue":"The Journal of Internet Banking and Commerce","topic":"Economic Growth and Development","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Inclusive growth; Government (linguistics); Order (exchange); Stunted growth; Economics; Agricultural productivity; Poverty; Development economics; Economic sector; Per capita income; Per capita; Economic growth; Business; Economic policy; Finance; Economy; Geography","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":[0.0005816648,0.00009398496,0.0001488089,0.00003706736,0.0004252435,0.0002911808,0.0008314019,0.00003570448,0.000008518941],"category_scores_gemma":[0.00005990712,0.0000545182,0.00002867034,0.0000260947,0.00006264155,0.0005548517,0.0004907208,0.0002391725,0.000006157739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002581136,"about_ca_system_score_gemma":0.00002455102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003199724,"about_ca_topic_score_gemma":0.000006460552,"domain_scores_codex":[0.9993843,0.00006113673,0.0002449379,0.00008577187,0.00009798447,0.0001259038],"domain_scores_gemma":[0.9990532,0.0002195786,0.000395308,0.0001938068,0.00007469772,0.0000633514],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001044252,0.000004953886,0.9848794,0.0000138923,0.00003166269,0.000001735474,0.006588668,7.715077e-7,0.00001067992,0.001674737,0.002340685,0.004442352],"study_design_scores_gemma":[0.0002438733,0.00007994285,0.995344,0.0001669876,0.000008731438,0.0001402563,0.0001596678,0.0002404753,0.0003185308,0.002871511,0.0003426625,0.00008337136],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908769,0.0002819131,0.001639638,0.004709666,0.0001141139,0.00003531038,0.000001144116,0.000006268179,0.002335079],"genre_scores_gemma":[0.9986222,0.0001020459,0.0005791891,0.000346587,0.00009076259,5.257389e-7,3.869295e-7,0.000003149156,0.0002551033],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01046457,"threshold_uncertainty_score":0.3270673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02631118851752659,"score_gpt":0.2507194730237333,"score_spread":0.2244082845062067,"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."}}