{"id":"W2051987352","doi":"10.1016/j.bpj.2012.11.837","title":"Quantification of Force Generation during Invasive Cellular Growth using Microfluidics and Reverse Engineering","year":2013,"lang":"en","type":"article","venue":"Biophysical Journal","topic":"Plant Reproductive Biology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Concordia University","funders":"","keywords":"Turgor pressure; Polydimethylsiloxane; Microfluidics; Hydrostatic pressure; Biophysics; Pollen tube; Matrix (chemical analysis); Materials science; Chemistry; Nanotechnology; Biology; Mechanics; Composite material; 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":[0.0003304046,0.0003924065,0.0002176366,0.0003480354,0.0002595037,0.0003827452,0.0003298661,0.0004695815,0.000622684],"category_scores_gemma":[0.0004971549,0.000192292,0.000190613,0.0002430717,0.0004130227,0.0003768615,0.0003127905,0.0007285092,0.0001746324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000471052,"about_ca_system_score_gemma":0.000272955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007438375,"about_ca_topic_score_gemma":0.001117123,"domain_scores_codex":[0.9997342,0.00002083,0.00001257647,0.00004958708,0.0001254982,0.00005720271],"domain_scores_gemma":[0.9994001,0.0002838134,0.0001142126,0.00004971311,0.00007948527,0.00007267205],"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":[0.00003026659,0.00001704616,0.0002492901,0.00001141567,0.000001641822,0.00001525351,0.00002443849,0.0001209376,0.9977968,0.00006997509,0.00002160662,0.001641358],"study_design_scores_gemma":[0.000008975629,0.000114761,0.006566416,0.000003931053,0.000005606968,0.00006041491,0.00003224726,0.008686326,0.9839773,0.00007869692,0.0004528553,0.00001237208],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9789954,0.0003998733,0.01902642,0.00009171636,0.00003733109,0.00004487277,0.0002336313,0.0001214842,0.001049322],"genre_scores_gemma":[0.9851665,0.0003056311,0.01298297,0.00005680213,0.00001717765,0.00009888193,0.0002138377,0.00002978398,0.001128408],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007438375,"threshold_uncertainty_score":0.00341779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01422277071083518,"score_gpt":0.2094283594157355,"score_spread":0.1952055887049003,"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."}}