{"id":"W2952959044","doi":"10.2478/sg-2019-0011","title":"Growth performance of hybrid poplar clones on two agricultural sites with and without early irrigation and fertilization","year":2019,"lang":"en","type":"article","venue":"Silvae genetica/Silvae Genetica","topic":"Bioenergy crop production and management","field":"Agricultural and Biological Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Forest Service; National Institute of Food and Agriculture; Bioenergy Technologies Office; University of Toronto; National Rice Research Institute, Indian Council of Agricultural Research; University of Minnesota Duluth; Iowa State University; U.S. Department of Energy; University of Minnesota; Purdue University; U.S. Department of Agriculture","keywords":"Biology; Fertilizer; Human fertilization; Irrigation; Hybrid; clone (Java method); Horticulture; Animal science; Botany; Agronomy; Genetics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002884384,0.0003281951,0.000303041,0.0003035511,0.0003445743,0.0003050146,0.0002390727,0.0001874387,0.0005108755],"category_scores_gemma":[0.0002720107,0.0001510462,0.0002578028,0.000237527,0.0001725194,0.0001777196,0.0002712353,0.0002327549,0.000169914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006545818,"about_ca_system_score_gemma":0.0002580436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009471441,"about_ca_topic_score_gemma":0.0245539,"domain_scores_codex":[0.9997614,0.00004595659,0.00002221529,0.00007921307,0.00005936282,0.00003189309],"domain_scores_gemma":[0.9994074,0.0001644072,0.0001118685,0.00005066189,0.0001394771,0.0001261618],"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":[0.001558897,0.0002880551,0.2717252,0.00004028392,0.0000913409,0.0004127786,0.0003976904,0.0008977771,0.7181797,0.00004625935,0.00009436899,0.006267725],"study_design_scores_gemma":[0.00001974933,0.001307257,0.9578305,0.000002908815,0.00003743902,0.0001908557,0.0002286225,0.0008078111,0.03913704,0.00001036661,0.0004158884,0.00001157735],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997671,0.00001701958,0.0000390014,0.000001364147,7.176719e-7,0.000002357592,0.00006321551,0.000003462271,0.0001057288],"genre_scores_gemma":[0.998612,0.00002807472,0.0002502402,0.000007842392,0.00000120356,0.000009983047,0.0004341311,0.000004257236,0.0006522274],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009471441,"threshold_uncertainty_score":0.01883262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00739550774523056,"score_gpt":0.1814796447271843,"score_spread":0.1740841369819538,"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."}}