{"id":"W2089984560","doi":"10.1007/s00468-014-1043-9","title":"Genetic by environment interactions of two North American Salix species assessed for coppice yield and components of growth on three sites of varying quality","year":2014,"lang":"en","type":"article","venue":"Trees","topic":"Bioenergy crop production and management","field":"Agricultural and Biological Sciences","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Natural Resources Canada; Canadian Forest Service","funders":"","keywords":"Coppicing; Biology; Biomass (ecology); Willow; Nutrient; Productivity; Yield (engineering); clone (Java method); Agronomy; Ecology; Botany; Woody plant","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":[0.0000777514,0.00006298495,0.0001550933,0.000009946913,0.00004029377,0.00000507826,0.00007381387,0.000008998562,0.00004119513],"category_scores_gemma":[0.00002317881,0.00002850187,0.00003738876,0.00006199871,0.0001282507,0.00002619425,0.00003518624,0.00002377767,5.122409e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000585214,"about_ca_system_score_gemma":6.367908e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001639548,"about_ca_topic_score_gemma":0.002915744,"domain_scores_codex":[0.9994804,0.00002985776,0.0001820985,0.0001349619,0.000104596,0.00006806387],"domain_scores_gemma":[0.9995354,0.0001806629,0.0001886177,0.00004842374,0.00002403827,0.00002281109],"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":[0.00004414241,0.0002198194,0.1537175,0.00002279489,0.00002768764,1.923434e-8,0.00003253658,0.00003790859,0.832206,0.0006270594,0.0002325854,0.01283205],"study_design_scores_gemma":[0.0001119012,0.0003468319,0.9508516,0.000008548581,0.00001485075,9.432012e-8,0.00007925977,0.00005147949,0.04595248,0.00008259792,0.002445083,0.00005533378],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988199,0.0000201414,0.0002350003,0.0005215522,0.00002598644,0.00009622356,0.00004590848,0.000006778464,0.0002284741],"genre_scores_gemma":[0.9993225,0.00005480829,0.0004277924,0.00004740291,0.00003072972,0.000006140011,0.00002920573,5.131722e-7,0.00008092834],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.797134,"threshold_uncertainty_score":0.2478518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0565817519238218,"score_gpt":0.2581283585879834,"score_spread":0.2015466066641616,"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."}}