{"id":"W3217356313","doi":"10.5376/mpb.2021.12.0032","title":"Effect of on Nutrient Resorption Efficiency, Metal Ion Concentrations and Nutrient Ratios of &lt;i&gt;Achnatherum inebrians&lt;/i&gt; under Various Nitrogen Concentrations","year":2021,"lang":"en","type":"article","venue":"Molecular Plant Breeding","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Program for Changjiang Scholars and Innovative Research Team in University; National Natural Science Foundation of China","keywords":"Nutrient; Resorption; Nitrogen; Chemistry; Animal science; Horticulture; Dry weight; Metal; Magnesium; Botany; Nuclear chemistry; Biology; Organic chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000377853,0.0001965013,0.0003114419,0.00003621146,0.0001740359,0.00004460213,0.0001216081,0.0001293931,0.00002806621],"category_scores_gemma":[0.0001242806,0.0001068247,0.000151515,0.0004667164,0.0001112862,0.00006527291,0.00005928319,0.0001132557,0.000002121573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005349846,"about_ca_system_score_gemma":0.00003682005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002891572,"about_ca_topic_score_gemma":0.0001301494,"domain_scores_codex":[0.9983245,0.0002427437,0.0003844819,0.0003427223,0.0004202197,0.0002853395],"domain_scores_gemma":[0.9991565,0.0003097024,0.0001945323,0.00009188558,0.0001405754,0.000106815],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00008837529,0.0001561927,0.001128688,0.00002005088,0.00005325112,0.00002061295,0.0001049922,0.0002569178,0.961912,0.03573469,0.00002182727,0.0005024505],"study_design_scores_gemma":[0.0007832776,0.001174322,0.002212552,0.00009264116,0.0001191346,0.00006142209,0.0001311787,0.01037455,0.9841007,0.0005051948,0.0002317149,0.0002133044],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969196,0.0008935598,0.0007047511,0.0002644983,0.0001650986,0.0003998324,0.0002133556,0.000035414,0.0004038572],"genre_scores_gemma":[0.9992906,0.000108052,0.00005581016,0.00008081373,0.00005762191,0.00001988592,0.000371215,0.000003038293,0.00001292964],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03522949,"threshold_uncertainty_score":0.4356185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009803987953092112,"score_gpt":0.205541101131147,"score_spread":0.1957371131780549,"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."}}