{"id":"W2943363704","doi":"10.5539/jas.v11n6p493","title":"Prediction Models of Corn Yield by NDVI in Function of the Spacing Arrangement","year":2019,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Leaf Properties and Growth Measurement","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Normalized Difference Vegetation Index; Yield (engineering); Mathematics; Population; Crop; Productivity; Crop yield; Vegetation (pathology); Agronomy; Statistics; Leaf area index; Biology","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":[0.000746987,0.00007063668,0.0001505594,0.00001493999,0.00007096975,0.0000217051,0.0003384667,0.00003271906,0.00004882062],"category_scores_gemma":[0.00004308902,0.0000170452,0.00009079698,0.000610757,0.00008535956,0.0004809592,0.00005570496,0.0001170047,0.000001069525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007361294,"about_ca_system_score_gemma":0.00001792926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001645957,"about_ca_topic_score_gemma":0.00006776593,"domain_scores_codex":[0.9986022,0.00003291759,0.0003817109,0.0001117964,0.0007167535,0.0001546465],"domain_scores_gemma":[0.9991744,0.00003059303,0.0004106784,0.0000401016,0.0002989001,0.00004531917],"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":[0.00002726078,0.00005124354,0.02065971,0.000006905484,0.000004163959,5.374479e-8,0.0001334829,0.0008155524,0.975409,0.00004063486,0.0003936806,0.002458247],"study_design_scores_gemma":[0.0001473601,0.000569181,0.8981571,0.0001743333,0.00001074654,0.000005460652,0.001200747,0.0001163281,0.09927108,0.00009768068,0.0001938158,0.00005617626],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978349,0.0001580808,0.000005956007,0.0008470601,0.0003859829,0.000152971,0.000004871799,0.000002234513,0.0006079524],"genre_scores_gemma":[0.9997482,0.00002776454,0.00001537774,0.0000412606,0.00005856379,8.427779e-7,4.588067e-7,2.328514e-7,0.0001073239],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8774974,"threshold_uncertainty_score":0.06950832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03502518343067555,"score_gpt":0.1817191133997373,"score_spread":0.1466939299690618,"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."}}