{"id":"W2137099531","doi":"10.5539/jas.v3n1p22","title":"Agronomic Performance of Collards under Two Intercrops and Varying Nitrogen Application Levels as Assessed Using Land Equivalent Ratios","year":2011,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Agronomic Practices and Intercropping Systems","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Yield (engineering); Agronomy; Environmental science; Productivity; Cropping; Agriculture; Crop; Intercropping; Crop yield; Agroecosystem; Geography; Agroforestry; Biology; Economics","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":[0.0007665405,0.0001222388,0.000229514,0.00002901279,0.0002282738,0.0001007107,0.0004148452,0.00004025782,0.00004704902],"category_scores_gemma":[0.000038456,0.00004276727,0.00007144636,0.0003196164,0.0001800296,0.001235213,0.00009137105,0.0001183257,0.000004154509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001277725,"about_ca_system_score_gemma":0.00005513742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006332505,"about_ca_topic_score_gemma":0.00004881383,"domain_scores_codex":[0.9987836,0.00005303469,0.0004839181,0.000185726,0.0002827719,0.0002109687],"domain_scores_gemma":[0.9987069,0.00006575228,0.0007354073,0.00004674029,0.0003252368,0.0001200085],"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":[0.00003441413,0.00003770855,0.02635211,0.00000763853,0.00001611558,4.885082e-7,0.0002614478,0.0001032594,0.9708527,0.00007007213,0.00000952961,0.002254523],"study_design_scores_gemma":[0.0002515806,0.0005743897,0.8988643,0.0001209909,0.00003940517,0.0003634684,0.001334909,0.000825007,0.09730701,0.00008502702,0.00006124549,0.0001727136],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988799,0.0001088047,0.00009975065,0.0001245729,0.0001683535,0.0001423243,0.000003324373,0.000006260405,0.0004666997],"genre_scores_gemma":[0.9991246,0.00003468718,0.0006164792,0.00004073059,0.0001598664,0.000001479619,8.590521e-7,7.339523e-7,0.00002051665],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8735457,"threshold_uncertainty_score":0.175572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06622351606644901,"score_gpt":0.2806195704489776,"score_spread":0.2143960543825286,"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."}}