{"id":"W1975350739","doi":"10.1071/fp08081","title":"MAppleT: simulation of apple tree development using mixed stochastic and biomechanical models","year":2008,"lang":"en","type":"article","venue":"Functional Plant Biology","topic":"Greenhouse Technology and Climate Control","field":"Agricultural and Biological Sciences","cited_by":131,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Tree (set theory); Geometry; Curvature; Scale (ratio); Process (computing); Topology (electrical circuits); Mathematics; Geometric modeling; Computer science; Biological system; Biology; Combinatorics; Cartography; Geography","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":[0.00008606884,0.00009082211,0.0001628607,0.00002419299,0.0001637556,0.000001914745,0.00006210494,0.0001740877,0.00007165976],"category_scores_gemma":[0.00001616764,0.00003949294,0.00002726498,0.00009536419,0.0001026855,0.00003507949,0.00004617923,0.00006571798,0.000007075203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001194252,"about_ca_system_score_gemma":0.00001106807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002966677,"about_ca_topic_score_gemma":0.0001188691,"domain_scores_codex":[0.9993745,0.00002670798,0.0001889652,0.0001943054,0.00006310881,0.0001524248],"domain_scores_gemma":[0.9996188,0.000213166,0.0000732228,0.00002617773,0.00003500647,0.00003356978],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004337354,0.000168272,0.006633219,0.000008267703,0.00007923777,0.00000527089,0.00004956057,0.01001069,0.9613599,0.006706711,0.0001458593,0.01439932],"study_design_scores_gemma":[0.002465592,0.00139036,0.1552373,0.0000517246,0.00009079093,0.0006414689,0.0003749468,0.7931637,0.01280477,0.02487822,0.00786485,0.001036308],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9831586,0.00009393414,0.01627606,0.00008636381,0.00008688527,0.0001068662,0.0001227695,0.0000477176,0.00002076469],"genre_scores_gemma":[0.999256,0.000007194045,0.0002711616,0.00004422461,0.00005004177,0.000008699968,0.0003479084,6.161742e-7,0.00001419249],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9485551,"threshold_uncertainty_score":0.1610475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07796184942166837,"score_gpt":0.2186532823382042,"score_spread":0.1406914329165359,"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."}}