{"id":"W2091746252","doi":"10.1016/j.bpj.2013.11.3184","title":"Quantitative Determination of Cell Wall Mechanical Properties using Microfluidics","year":2014,"lang":"en","type":"article","venue":"Biophysical Journal","topic":"Plant Reproductive Biology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Concordia University","funders":"","keywords":"Turgor pressure; Polydimethylsiloxane; Microfluidics; Hydrostatic pressure; Biophysics; Pollen tube; Cell wall; Matrix (chemical analysis); Deformation (meteorology); Osmotic pressure; Hydrostatic equilibrium; Materials science; Nanotechnology; Biology; Composite material; Mechanics; Botany; Pollen; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003552416,0.0003223885,0.0002020206,0.0004031935,0.0002385169,0.000579491,0.0004400346,0.0004408766,0.0008471919],"category_scores_gemma":[0.0006525482,0.0002464992,0.0001775175,0.0002910683,0.000376862,0.000434604,0.0003417839,0.0005784867,0.0002493675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004981027,"about_ca_system_score_gemma":0.000271037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004570647,"about_ca_topic_score_gemma":0.0009774342,"domain_scores_codex":[0.9997016,0.00003203439,0.00001762722,0.00008014936,0.0001242996,0.0000442382],"domain_scores_gemma":[0.9994649,0.0002544084,0.0001133845,0.00005931716,0.00005886795,0.00004903581],"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":[0.00002458056,0.00002045299,0.0003082148,0.0000158475,0.000003608502,0.00000554595,0.000009664094,0.0001225971,0.9962166,0.0001814358,0.00005473155,0.003036749],"study_design_scores_gemma":[0.00001458371,0.00008730046,0.006651948,0.000004826238,0.000009519568,0.00003622611,0.00001674985,0.01149967,0.980309,0.0002827605,0.001066445,0.00002104019],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9193434,0.001126798,0.07472561,0.0002933135,0.0001739079,0.00009358213,0.001090153,0.0003577406,0.002795447],"genre_scores_gemma":[0.9535354,0.0006198541,0.04316872,0.0001508413,0.00007257878,0.0001681566,0.0004187115,0.00003821877,0.00182737],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008471919,"threshold_uncertainty_score":0.003614008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02731057870971173,"score_gpt":0.2631692231936834,"score_spread":0.2358586444839717,"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."}}