{"id":"W2065492126","doi":"10.1007/s10544-013-9802-8","title":"Optimization of flow assisted entrapment of pollen grains in a microfluidic platform for tip growth analysis","year":2013,"lang":"en","type":"article","venue":"Biomedical Microdevices","topic":"Plant Surface Properties and Treatments","field":"Agricultural and Biological Sciences","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Concordia University","funders":"Fonds de recherche du Québec – Nature et technologies","keywords":"Polydimethylsiloxane; Microchannel; Microfluidics; Materials science; Suspension (topology); Flow (mathematics); Chip; Pollen; Nanotechnology; Computer science; Mechanics; Botany","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":[0.0002016417,0.0003676071,0.0002209381,0.0001740979,0.0001875162,0.0004130185,0.0002826427,0.0003523247,0.0004433324],"category_scores_gemma":[0.0002176803,0.0002018102,0.0002932213,0.0001659948,0.000144319,0.0002413018,0.0002328175,0.0002932375,0.000225711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000410039,"about_ca_system_score_gemma":0.0002858769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007089772,"about_ca_topic_score_gemma":0.001888906,"domain_scores_codex":[0.9998525,0.00001225087,0.00001199134,0.00004282067,0.00005328631,0.00002707577],"domain_scores_gemma":[0.9999068,0.00002813725,0.00002956223,0.00001078234,0.00001422588,0.0000105762],"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":[0.00001477893,0.00001065379,0.0000579144,0.00001741656,0.000001746149,0.00001516588,0.000008686013,0.0002549109,0.9986236,0.00003795773,0.00001210458,0.0009450945],"study_design_scores_gemma":[0.000004183043,0.00004944505,0.0008716303,0.000001530193,0.000004113665,0.00001946275,0.000005689774,0.0025185,0.9961179,0.00001108154,0.0003918741,0.000004605725],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9827991,0.0004248695,0.01554793,0.00005838382,0.00002820211,0.00007035365,0.0001621747,0.00009771391,0.0008113498],"genre_scores_gemma":[0.97233,0.0004125477,0.0253857,0.00002395639,0.0000090348,0.0000900913,0.0001909264,0.00004132201,0.001516329],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007089772,"threshold_uncertainty_score":0.002975047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01848588630434118,"score_gpt":0.2101355044294457,"score_spread":0.1916496181251046,"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."}}