{"id":"W2082948570","doi":"10.1139/b09-111","title":"Nitrogen use efficiency: re-consideration of the bioengineering approach","year":2010,"lang":"en","type":"article","venue":"Botany","topic":"Plant nutrient uptake and metabolism","field":"Agricultural and Biological Sciences","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; Limiting; Glutamine synthetase; Nitrogen; Computational biology; Biochemistry; Glutamine; Agronomy; Amino acid; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0001079526,0.00005768372,0.00007321644,0.000004434083,0.00008338392,0.00002682317,0.0001299737,0.0000506431,0.00002866278],"category_scores_gemma":[0.00007918786,0.0000170913,0.00005271064,0.000162593,0.00003091263,0.00007126605,0.00002850073,0.00008923226,0.000003762515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001734324,"about_ca_system_score_gemma":0.000004457564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000449873,"about_ca_topic_score_gemma":0.00008207017,"domain_scores_codex":[0.9995493,0.00001569707,0.0001049736,0.0001033423,0.0001120492,0.000114678],"domain_scores_gemma":[0.999788,0.00005688155,0.00004284496,0.00005630364,0.00002589553,0.0000300166],"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":[0.000002555523,0.0000291951,0.006831166,6.139996e-7,0.000002355903,1.990016e-7,0.00002658702,0.000004985523,0.9878577,0.001613722,0.000208603,0.003422328],"study_design_scores_gemma":[0.0001855894,0.00003834558,0.5990955,0.00001116308,0.00002586999,0.00002307975,0.0001015766,0.001288458,0.1599177,0.0006616972,0.2384339,0.00021716],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988014,0.0001418204,0.00001259904,0.0001593444,0.0002169134,0.0001119012,0.00002249742,0.0000247436,0.0005088167],"genre_scores_gemma":[0.9993722,0.00002811214,0.0002981809,0.00006489038,0.0001100282,0.000003739934,0.000002945213,3.92502e-7,0.0001194461],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.82794,"threshold_uncertainty_score":0.06969631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02169672722657693,"score_gpt":0.1929570398589825,"score_spread":0.1712603126324056,"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."}}