{"id":"W2368289922","doi":"","title":"Effects of plant density and nitrogen application metabolism of wheat varieties Ningmai 9","year":2007,"lang":"en","type":"article","venue":"","topic":"Crop Yield and Soil Fertility","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"CAE (Canada)","funders":"","keywords":"Nitrogen; Anthesis; Agronomy; Gluten; Grain yield; Grain quality; Yield (engineering); Plant density; Nitrogen cycle; Chemistry; Biology; Animal science; Sowing; Cultivar; Materials science; Food science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002023103,0.00004846608,0.0001256086,0.00000458511,0.0000386359,0.000004345668,0.0000509482,0.00004749239,0.00001773343],"category_scores_gemma":[0.00002291236,0.00001639207,0.00003177932,0.00006657878,0.00005588874,0.00002712577,0.00003074891,0.00002959317,8.659364e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002075065,"about_ca_system_score_gemma":0.000001420733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009511838,"about_ca_topic_score_gemma":0.0005925753,"domain_scores_codex":[0.999595,0.00001545312,0.0001246579,0.00009800258,0.00008360966,0.00008323571],"domain_scores_gemma":[0.9996746,0.0001850095,0.00004166388,0.00002567624,0.00003837422,0.00003473282],"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":[0.00006339067,0.00005200901,0.04985859,0.0000273709,0.000007768501,3.595811e-7,0.0001024144,4.778985e-8,0.9263828,0.00241383,0.0000406466,0.02105079],"study_design_scores_gemma":[0.00004127898,0.00002044558,0.5732353,0.000001951412,0.0000085727,8.233358e-7,0.00006526575,0.00000824516,0.4246436,0.00155286,0.0003930106,0.00002863926],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989904,0.0002248588,0.0001237279,0.00005215789,0.00002226931,0.000105803,0.0000044721,0.00001357613,0.0004627795],"genre_scores_gemma":[0.9998086,0.00002042568,0.00006918786,0.00003379244,0.00002831584,0.000001413135,0.00000666042,1.595976e-7,0.00003144054],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5233768,"threshold_uncertainty_score":0.1437912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006321816090758775,"score_gpt":0.1895473296303372,"score_spread":0.1832255135395784,"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."}}