{"id":"W3198360745","doi":"10.1016/j.eja.2021.126380","title":"Revisiting the critical nitrogen dilution curve for tall fescue: A quantitative synthesis","year":2021,"lang":"en","type":"article","venue":"European Journal of Agronomy","topic":"Turfgrass Adaptation and Management","field":"Environmental Science","cited_by":36,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Agence Nationale de la Recherche","keywords":"Festuca arundinacea; Mathematics; Dilution; Animal science; Statistics; Environmental science; Agronomy; Biology; Physics; Poaceae","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":[0.001051217,0.00007462402,0.0001024819,0.0000165024,0.0001637163,0.00007315075,0.000165863,0.000006418345,0.0004714127],"category_scores_gemma":[0.0007265134,0.00005039788,0.0001358506,0.00008359159,0.00008423308,0.0001928554,0.00009297538,0.00008834076,0.0000881495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005997443,"about_ca_system_score_gemma":0.00001177645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003089497,"about_ca_topic_score_gemma":0.000002212046,"domain_scores_codex":[0.9988968,0.0004217175,0.0002765591,0.0001105617,0.0001607834,0.0001335339],"domain_scores_gemma":[0.999214,0.0004118334,0.0001626675,0.00009979764,0.00004723743,0.00006447347],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007901611,0.001013206,0.03745608,0.0002893347,0.001315879,0.001889261,0.01605089,0.02022952,0.02703526,0.2169187,0.1351488,0.541863],"study_design_scores_gemma":[0.001114059,0.0003770122,0.2591406,0.0003192219,0.000417228,0.0001475629,0.01301075,0.001443624,0.004096773,0.002983927,0.7164434,0.0005059343],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6024784,0.0008694548,0.3070091,0.02275399,0.0005248489,0.0003455951,0.00001300831,0.00002667546,0.06597886],"genre_scores_gemma":[0.9759686,0.00001979362,0.02339161,0.0002580628,0.000130512,0.000002372128,0.00000127424,0.00001190394,0.0002158592],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5812945,"threshold_uncertainty_score":0.5161639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03063870355868819,"score_gpt":0.2654797374187357,"score_spread":0.2348410338600475,"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."}}