{"id":"W4386254368","doi":"10.1002/fes3.500","title":"Optimal tree architecture for high‐yield yellowhorn (<i>Xanthoceras sorbifolium</i>) management","year":2023,"lang":"en","type":"article","venue":"Food and Energy Security","topic":"Forest ecology and management","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Yield (engineering); Tree (set theory); Sustainability; Canopy; Productivity; Agroforestry; Environmental science; Agricultural engineering; Mathematics; Ecology; Biology; Engineering; Economics; Materials science","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":[0.000165184,0.000161031,0.0001503503,0.0000602417,0.000228867,0.00002341044,0.0001798502,0.00009270082,0.0002404672],"category_scores_gemma":[0.000008340457,0.0001467278,0.00006126967,0.0001958511,0.0001377804,0.00006996113,0.0003703065,0.00008051006,0.00007472344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002791569,"about_ca_system_score_gemma":0.000002423242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001645784,"about_ca_topic_score_gemma":0.00190144,"domain_scores_codex":[0.9989162,0.00002127361,0.0001377416,0.0003925825,0.0001345565,0.0003976398],"domain_scores_gemma":[0.9996129,0.00004957495,0.00003669995,0.0002016136,0.000003045017,0.00009612086],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003185231,0.0003146127,0.001620919,0.0001782461,0.0003684533,0.00008797238,0.001275234,0.02412548,0.0003061034,0.6377282,0.2847391,0.04893717],"study_design_scores_gemma":[0.001319441,0.001005698,0.02717861,0.00002126179,0.0001098973,0.000008220884,0.000249163,0.002627253,0.001383226,0.3065535,0.6589608,0.0005830152],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8903528,0.0001499685,0.02337761,0.003359444,0.001029732,0.0004753169,0.00007573031,0.0004720263,0.08070733],"genre_scores_gemma":[0.9931549,0.000147411,0.001052741,0.0006389939,0.00007001476,0.0001413139,0.00004280353,0.00001664702,0.004735106],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3742216,"threshold_uncertainty_score":0.5983387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006780996756886599,"score_gpt":0.1944344235394135,"score_spread":0.1876534267825269,"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."}}