{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008585553,0.000155102,0.0002186175,0.0006908759,0.0005826412,0.002257755,0.0001985256,0.0004060061,0.005026465],"category_scores_gemma":[0.005306343,0.0001113962,0.0002269696,0.001175136,0.0007608461,0.001202786,0.0009295218,0.0009123294,0.0006517277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005841909,"about_ca_system_score_gemma":0.0009313737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005375994,"about_ca_topic_score_gemma":0.007550764,"domain_scores_codex":[0.9995601,0.00008738352,0.00004693679,0.00006971401,0.0000856941,0.0001502635],"domain_scores_gemma":[0.9938931,0.002049982,0.00254421,0.0001703315,0.0005695306,0.0007727745],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009206704,0.0001111734,0.9890437,0.00005385404,0.00002781124,0.0002022224,0.0009730057,0.0001541418,0.0001621469,0.0009049181,0.000281814,0.007993068],"study_design_scores_gemma":[0.000003569497,0.00008825156,0.9870737,0.000135717,0.00003882492,0.0001857602,0.008283729,0.0005145815,0.0002199622,0.001135755,0.00231228,0.000007788547],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877159,0.0007558623,0.000136131,0.001012983,0.00002786897,0.000007655807,0.0001388181,0.000003515247,0.01020124],"genre_scores_gemma":[0.9986444,0.0004206892,0.00005131112,0.00003983584,0.00001315282,0.000003481295,0.0000831553,0.00000183597,0.000742187],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005375994,"threshold_uncertainty_score":0.01681519,"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."}}