{"id":"W2918776117","doi":"10.1002/jpln.201800336","title":"Dry matter production, nutrient accumulation, and nutrient partitioning of barley","year":2019,"lang":"en","type":"article","venue":"Journal of Plant Nutrition and Soil Science","topic":"Crop Yield and Soil Fertility","field":"Agricultural and Biological Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kimberly-Clark (Canada)","funders":"International Plant Nutrition Institute","keywords":"Nutrient; Loam; Dry matter; Agronomy; Hordeum vulgare; Animal science; Biology; Poaceae; Soil water; Ecology","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":[0.0002337591,0.0003602734,0.0002460249,0.0003203196,0.0002004161,0.0004624704,0.0001504229,0.00011493,0.0003739275],"category_scores_gemma":[0.0002865545,0.0002125401,0.0001959699,0.0003944325,0.0001665389,0.0002266934,0.0001971153,0.0001967544,0.0001543228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009043226,"about_ca_system_score_gemma":0.0002969636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01571067,"about_ca_topic_score_gemma":0.01667786,"domain_scores_codex":[0.9999241,0.00001070247,0.000006584466,0.00002936826,0.00001426179,0.00001501464],"domain_scores_gemma":[0.9998063,0.00004426081,0.00005773089,0.00001218628,0.00003593509,0.00004350079],"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":[0.001276728,0.0001085282,0.3312668,0.0001078009,0.0002368491,0.0003063223,0.0002486306,0.002729475,0.6552503,0.00009381586,0.0001596477,0.008215082],"study_design_scores_gemma":[0.000003591246,0.00009989941,0.9914507,0.000001614545,0.00001229058,0.00004030339,0.00005522676,0.00115142,0.007017415,0.00002930568,0.0001342831,0.000003972528],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993242,0.00004585233,0.0001628189,0.000003952,8.557989e-7,0.000001829959,0.0003131015,0.000005160261,0.0001421833],"genre_scores_gemma":[0.9989024,0.00003060166,0.0001747433,0.000006935005,7.929211e-7,0.000004644323,0.0005219953,0.000006452753,0.0003513697],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01571067,"threshold_uncertainty_score":0.0312385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02105388628419202,"score_gpt":0.2369458878977452,"score_spread":0.2158920016135532,"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."}}