{"id":"W2883993947","doi":"10.30635/2415-0142.2018.04.1","title":"The Effect of Fertilisation and Weather Extremities Caused by Climate Change on Maize (Zea mays L.) Yield in Hungary","year":2018,"lang":"en","type":"article","venue":"Journal of Agriculture Food and Development","topic":"Crop Yield and Soil Fertility","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Zea mays; Agronomy; Yield (engineering); Fertilisation; Climate change; Environmental science; Biology; Ecology; Physics; Fishery","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":[0.0003025494,0.0001810524,0.0002883872,0.0003923014,0.0002603805,0.0005886222,0.0002470307,0.0002528874,0.0008770462],"category_scores_gemma":[0.0004395007,0.0001190265,0.000403031,0.0005439172,0.0004003622,0.0002164571,0.0003749168,0.0002973991,0.0001019525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001311929,"about_ca_system_score_gemma":0.0005464785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02257554,"about_ca_topic_score_gemma":0.02419513,"domain_scores_codex":[0.9997768,0.00004246381,0.00002266923,0.00004374987,0.00003492088,0.00007940868],"domain_scores_gemma":[0.9995944,0.0001257372,0.0001031708,0.00001843412,0.0000577229,0.0001005904],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005524517,0.0005197701,0.9180599,0.0001883557,0.0008141928,0.002812997,0.0009046094,0.009111734,0.04360734,0.0009907039,0.001008889,0.01645691],"study_design_scores_gemma":[0.00001326689,0.00008413822,0.9982235,0.000002039294,0.00004077212,0.0000530554,0.0002155515,0.0005047779,0.0006153293,0.00003586185,0.0002068848,0.000004852957],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992987,0.0001160789,0.0000446413,0.00003055645,0.000006696249,0.000001695633,0.0001600729,0.000002592366,0.0003390561],"genre_scores_gemma":[0.9995926,0.00008630734,0.00001915803,0.00001000097,0.000005500847,0.000001092659,0.0001466566,0.000001533721,0.0001371764],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02257554,"threshold_uncertainty_score":0.04488832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01999236357106667,"score_gpt":0.2086017999918131,"score_spread":0.1886094364207464,"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."}}