{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001248951,0.0002900762,0.0002521701,0.0002840358,0.0001845979,0.000251859,0.0001707692,0.0001472441,0.0005672819],"category_scores_gemma":[0.0001351758,0.0001949222,0.0001795406,0.0001716385,0.0001419348,0.0001753995,0.0002522781,0.0003088279,0.00008741034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005899492,"about_ca_system_score_gemma":0.0001492014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003403371,"about_ca_topic_score_gemma":0.006198222,"domain_scores_codex":[0.9998778,0.00002087507,0.00001215328,0.00004613061,0.0000229564,0.00001998154],"domain_scores_gemma":[0.9998156,0.00002790365,0.00004173542,0.00001042996,0.00001935748,0.00008508175],"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":[0.0006126682,0.00008743165,0.008261533,0.00005126253,0.00002240109,0.0000875074,0.00009982837,0.00006175674,0.9884072,0.00003156359,0.00002930854,0.002247498],"study_design_scores_gemma":[0.00007704963,0.002120544,0.8080034,0.0000100184,0.0001170021,0.0003297349,0.0003094043,0.00129618,0.1850875,0.00005033588,0.002570039,0.00002878124],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999378,0.0001537262,0.00008281388,0.00001413855,0.000003129834,0.000005879985,0.0000780803,0.000006767337,0.000277407],"genre_scores_gemma":[0.9979807,0.0001294541,0.0003380016,0.00002928877,0.000002565658,0.00002280267,0.00041827,0.000008100205,0.00107083],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003403371,"threshold_uncertainty_score":0.006767094,"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."}}