{"id":"W2169876309","doi":"10.1111/j.1469-8137.2005.01348.x","title":"Using L‐systems for modeling source–sink interactions, architecture and physiology of growing trees: the L‐PEACH model","year":2005,"lang":"en","type":"article","venue":"New Phytologist","topic":"Greenhouse Technology and Climate Control","field":"Agricultural and Biological Sciences","cited_by":354,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; University of California, Davis; New Phytologist Trust","keywords":"Tree (set theory); Sink (geography); Computer science; Biological system; Plant stem; Representation (politics); Botany; Biology; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002797972,0.0005666229,0.0003401098,0.0003254672,0.0005414165,0.000830494,0.001056247,0.001050443,0.003803549],"category_scores_gemma":[0.0007951891,0.0003705846,0.0007026912,0.0004427495,0.0005338345,0.0008114313,0.0006707627,0.0007523452,0.0008154491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008834624,"about_ca_system_score_gemma":0.001015204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02573108,"about_ca_topic_score_gemma":0.02360594,"domain_scores_codex":[0.9999205,0.00002752678,0.000003889459,0.00001814598,0.00001806728,0.00001180582],"domain_scores_gemma":[0.9997737,0.0001148081,0.00002562056,0.00002201819,0.00004384029,0.00001996392],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000219986,0.00001929091,0.001019378,0.00004395427,0.00002413918,0.00005854612,0.00005310055,0.9725494,0.002216646,0.01630721,0.0009749298,0.006711431],"study_design_scores_gemma":[0.00001002037,0.00001208773,0.0002239789,0.000005011245,0.000007218464,0.00001275912,0.000007408111,0.9917306,0.0003386448,0.004971537,0.002673606,0.000007220743],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0623333,0.0003712602,0.9115313,0.0004762023,0.00008182765,0.000109881,0.0009846903,0.001938753,0.02217278],"genre_scores_gemma":[0.7401958,0.0006015383,0.237456,0.0002065154,0.00006216343,0.0005919642,0.001042178,0.0004444474,0.01939956],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02573108,"threshold_uncertainty_score":0.0511626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05455135753315917,"score_gpt":0.2723568762350284,"score_spread":0.2178055187018692,"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."}}