{"id":"W4210778286","doi":"10.5167/uzh-165582","title":"Why plants make puzzle cells, and how their shape emerges","year":2018,"lang":"en","type":"article","venue":"Zurich Open Repository and Archive (University of Zurich)","topic":"Plant Molecular Biology Research","field":"Agricultural and Biological Sciences","cited_by":157,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"European Commission; Natural Sciences and Engineering Research Council of Canada; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Bundesministerium für Bildung und Forschung; European Research Council; Human Frontier Science Program","keywords":"Turgor pressure; Morphogenesis; Epidermis (zoology); Cell biology; Biology; Tip growth; Isotropy; Plant cell; Mechanism (biology); Stress (linguistics); Shape change; Biophysics; Anatomy; Botany; Physics; Genetics; Optics","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":[0.0002809423,0.0002070706,0.0002587637,0.0002091695,0.0006938636,0.002264944,0.0003886133,0.001100248,0.002267726],"category_scores_gemma":[0.00142448,0.00040725,0.0002478342,0.0002211155,0.001595449,0.002006243,0.0008396187,0.0009693704,0.001795974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004190209,"about_ca_system_score_gemma":0.0004403682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007143166,"about_ca_topic_score_gemma":0.001081454,"domain_scores_codex":[0.9997771,0.00003666983,0.000008655306,0.00005814942,0.00007582856,0.00004358244],"domain_scores_gemma":[0.9996222,0.00005503763,0.00007637691,0.0001067794,0.00007058861,0.00006898908],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002548667,0.00005720056,0.02959364,0.0004393034,0.00007934101,0.001675914,0.003065055,0.01588564,0.5765074,0.2592566,0.01346685,0.09971815],"study_design_scores_gemma":[0.00009440273,0.0002117044,0.06346861,0.0001933773,0.0001149888,0.00369635,0.006842693,0.05619299,0.1779777,0.4362977,0.2546591,0.0002504357],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8587334,0.005845635,0.0837054,0.01034969,0.0008715263,0.00004674153,0.0004490751,0.001190756,0.03880764],"genre_scores_gemma":[0.9743125,0.001841718,0.01236746,0.0007082641,0.00005901585,0.00003084091,0.0002085365,0.0003262929,0.0101453],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002267726,"threshold_uncertainty_score":0.0075863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01768115836085761,"score_gpt":0.1930092960806436,"score_spread":0.175328137719786,"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."}}