{"id":"W2019410892","doi":"10.1007/s10237-005-0010-1","title":"Finite-Element Analysis of Geometrical Factors in Micro-Indentation of Pollen Tubes","year":2006,"lang":"en","type":"article","venue":"Biomechanics and Modeling in Mechanobiology","topic":"Plant Reproductive Biology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":65,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal; Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Indentation; Stylus; Finite element method; Stiffness; Materials science; RADIUS; Deformation (meteorology); Composite material; Geometry; Structural engineering; Acoustics; Computer science; Engineering; Mathematics; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004454587,0.0001527843,0.0004401024,0.001214422,0.00001486857,0.000002604532,0.0001324443,0.0002884382,0.000005643541],"category_scores_gemma":[0.000114322,0.0001405621,0.0000908264,0.0007837238,0.00003991008,0.000002781416,0.0001180491,0.00006733625,1.692678e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002384637,"about_ca_system_score_gemma":0.00003472538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009697119,"about_ca_topic_score_gemma":0.0005155229,"domain_scores_codex":[0.9985798,0.0001026478,0.0005429261,0.0004695802,0.0000673566,0.0002376858],"domain_scores_gemma":[0.9995234,0.00004281533,0.000120527,0.0002069623,0.00008243376,0.00002384887],"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":[0.00009342034,0.0001234663,0.02081819,0.00001440677,0.0001159782,9.702931e-7,0.00002875431,0.006544575,0.9709635,0.001029116,0.000002557775,0.0002651161],"study_design_scores_gemma":[0.0007209044,0.0004804797,0.003498648,0.00001177815,0.000108925,0.000002794935,0.0001805355,0.1731438,0.8201582,0.001412155,0.00006040545,0.0002213256],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9719611,0.0006217933,0.02699252,0.00002193863,0.0000894644,0.0001585757,0.0001383044,0.000003209915,0.00001311492],"genre_scores_gemma":[0.9977545,0.0003845734,0.001076585,0.00001457579,0.00002413109,0.00001032043,0.0007157082,0.000008396956,0.00001125501],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1665993,"threshold_uncertainty_score":0.5731957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02307126331652945,"score_gpt":0.2617820770140022,"score_spread":0.2387108136974727,"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."}}