{"id":"W2038234066","doi":"10.5539/jas.v6n5p34","title":"Effects of Intercrop Population Density and Row Orientation on Growth and Yields of Sorghum - Cowpea Cropping Systems in Semi Arid Rongai, Kenya","year":2014,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Agronomic Practices and Intercropping Systems","field":"Agricultural and Biological Sciences","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sorghum; Intercropping; Agronomy; Cropping; Population; Cropping system; Hectare; Arid; Biology; Mathematics; Geography; Agriculture; Crop; 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":[0.0003176774,0.0003061196,0.000274254,0.0002432936,0.0004656019,0.000417001,0.0003141931,0.00017172,0.0008844775],"category_scores_gemma":[0.0003905663,0.0002399711,0.0002262731,0.0002416273,0.0003550199,0.0002861144,0.0003430522,0.0003259401,0.000156281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001009335,"about_ca_system_score_gemma":0.000538571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01344046,"about_ca_topic_score_gemma":0.05499306,"domain_scores_codex":[0.9997386,0.00008380001,0.00002027755,0.0000705893,0.00003651606,0.00005028429],"domain_scores_gemma":[0.9995306,0.0001027209,0.0001145382,0.00002087471,0.00004448046,0.0001869774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.007926066,0.002551276,0.3092697,0.0003440302,0.0002846362,0.00139388,0.002814623,0.001086687,0.6575667,0.0003299354,0.0003363299,0.01609611],"study_design_scores_gemma":[0.00002648562,0.002242442,0.9902595,0.000009144267,0.00003308953,0.0001028604,0.0009675326,0.0005361916,0.005292104,0.00002733253,0.0004907118,0.00001252621],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997695,0.00003720399,0.00001507945,0.000005538207,0.000001087629,0.000006212183,0.00002742957,0.000001086912,0.0001368437],"genre_scores_gemma":[0.9992337,0.00007790332,0.0001690681,0.00001363504,0.000001012469,0.0000192907,0.000103658,0.000001794631,0.0003800384],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01344046,"threshold_uncertainty_score":0.02672446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009738945917432573,"score_gpt":0.2182424703327058,"score_spread":0.2085035244152733,"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."}}