{"id":"W1979364790","doi":"10.2135/cropsci2010.01.0032","title":"Plant‐Based Diagnostic Tools for Evaluating Wheat Nitrogen Status","year":2010,"lang":"en","type":"article","venue":"Crop Science","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; National Association of Friendship Centres; Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada","keywords":"Biology; Poaceae; Nitrogen; Chlorophyll; Growing season; Fertilizer; Chlorophyll a; Horticulture; Animal science; Botany; Agronomy; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007971161,0.0001207242,0.000117006,0.00001978374,0.0005792963,0.0003570991,0.0004734214,0.00006127706,0.0001345091],"category_scores_gemma":[0.00430561,0.00004862552,0.00007537561,0.0005069163,0.0003929386,0.0002765393,0.00006570741,0.000130699,0.00002554368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003079574,"about_ca_system_score_gemma":0.0001107274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001716532,"about_ca_topic_score_gemma":0.0009592078,"domain_scores_codex":[0.9984453,0.00002194298,0.0001604065,0.0003858341,0.0004132356,0.0005733373],"domain_scores_gemma":[0.9975022,0.00190837,0.0000653146,0.00009775137,0.0001974518,0.0002288802],"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":[0.00001829039,0.00003469118,0.02671019,0.000003406118,0.000001436437,0.000001556578,0.00002837752,0.00002186021,0.9109074,0.0005403713,0.00006460054,0.06166783],"study_design_scores_gemma":[0.001101001,0.001441332,0.4185731,0.00005016465,0.00006072461,0.00003193965,0.0004854156,0.2328076,0.3271429,0.006667455,0.01052709,0.00111129],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998129,0.00003479743,0.00002279242,0.0002804924,0.0004427429,0.0003311465,0.0001366799,0.00007539441,0.0005470107],"genre_scores_gemma":[0.9975641,0.000003642944,0.001751139,0.0003952158,0.0001539289,0.0000574281,0.00005000628,0.000001088909,0.00002346837],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5837645,"threshold_uncertainty_score":0.5154529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04654092072989621,"score_gpt":0.2925158172551431,"score_spread":0.2459748965252469,"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."}}