{"id":"W1992039189","doi":"10.5539/jas.v2n3p229","title":"Evaluation of Sorghum-Cowpea Intercrop Productivity in Savanna Agro-ecology using Competition Indices","year":2010,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Agronomic Practices and Intercropping Systems","field":"Agricultural and Biological Sciences","cited_by":79,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sorghum; Intercropping; Sowing; Agronomy; Crop; Cropping; Mathematics; Productivity; Straw; Cropping system; Competition (biology); Biology; Agriculture; Ecology","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":[0.0003835282,0.0002328113,0.00024533,0.0005813866,0.0004217132,0.0003295153,0.00018556,0.000150654,0.0005675406],"category_scores_gemma":[0.0004044992,0.0001599258,0.0001263119,0.0003536174,0.0002083534,0.0002066133,0.0002999519,0.0001774324,0.00009105975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004994944,"about_ca_system_score_gemma":0.0002971661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004604137,"about_ca_topic_score_gemma":0.03373611,"domain_scores_codex":[0.9997936,0.00006234521,0.00001255409,0.00004802261,0.00004564798,0.00003793583],"domain_scores_gemma":[0.9995165,0.0001286865,0.0001276867,0.00002099616,0.00007308734,0.0001330161],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009822267,0.0004630753,0.7381601,0.00008027626,0.0001225738,0.000440176,0.00151288,0.0004778521,0.2437851,0.0001142698,0.00006708599,0.01379448],"study_design_scores_gemma":[0.000002478188,0.0004466751,0.9960243,0.000001945191,0.000009809932,0.0001033896,0.0005230787,0.0004592316,0.002282296,0.00001424846,0.0001276085,0.000005045079],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998616,0.00001068518,0.00002955968,9.85458e-7,2.064472e-7,0.000001907931,0.00001137007,6.496537e-7,0.0000830199],"genre_scores_gemma":[0.99959,0.00001329809,0.0002059117,0.000001790593,2.475841e-7,0.00000462734,0.00004258653,7.820523e-7,0.0001408495],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004604137,"threshold_uncertainty_score":0.009154677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04796926910624361,"score_gpt":0.2949217617389169,"score_spread":0.2469524926326733,"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."}}