{"id":"W4297091161","doi":"10.1016/j.sjbs.2022.103456","title":"Zn application through seed priming improves productivity and grain nutritional quality of silage corn","year":2022,"lang":"en","type":"article","venue":"Saudi Journal of Biological Sciences","topic":"Plant Micronutrient Interactions and Effects","field":"Agricultural and Biological Sciences","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ontario Ministry of Research and Innovation; King Saud University","keywords":"Silage; Productivity; Agronomy; Priming (agriculture); Grain quality; Biology; Agricultural engineering; Mathematics; Germination; Economics; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.00175991,0.00008350382,0.000219416,0.0000191277,0.0005064819,0.00002783605,0.0002605128,0.00003627169,0.00005610094],"category_scores_gemma":[0.000204345,0.00003062824,0.00009127663,0.0003821789,0.0003307145,0.0002028709,0.0001279465,0.0001706602,5.765778e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002662622,"about_ca_system_score_gemma":0.00001526311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009119161,"about_ca_topic_score_gemma":0.00002200358,"domain_scores_codex":[0.9986872,0.0002862681,0.0003561512,0.0002152734,0.0002891298,0.0001659775],"domain_scores_gemma":[0.9988422,0.0004832332,0.0005206635,0.00002626788,0.000080393,0.00004724215],"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":[0.0001403982,0.0002210339,0.02974792,0.000007438556,0.000006465852,0.000001093206,0.00004657403,0.000004366279,0.9564438,0.0005727678,0.00009235818,0.01271578],"study_design_scores_gemma":[0.0002623891,0.002554916,0.948336,0.00002472616,0.00001002042,0.0001974267,0.001532563,0.00003804252,0.02788459,0.009271597,0.009709688,0.0001780178],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974846,0.0004858727,0.00005499873,0.001497375,0.0001557046,0.0001470678,0.00006401807,0.000008115789,0.0001022212],"genre_scores_gemma":[0.9993182,0.00009943476,0.0003457568,0.00009079165,0.0001125529,0.000008079323,0.00001181884,2.464259e-7,0.00001312505],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9285592,"threshold_uncertainty_score":0.3895501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05435946562025288,"score_gpt":0.2888425645859066,"score_spread":0.2344830989656537,"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."}}