{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001274225,0.0001103161,0.0003120034,0.00006368131,0.00004057177,0.00001462687,0.000163734,0.00009426261,0.0002986591],"category_scores_gemma":[0.00002461884,0.0000410254,0.0001424271,0.0006482037,0.00007599228,0.00008552871,0.00003666457,0.00002969765,0.000003637106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002369935,"about_ca_system_score_gemma":0.00001006989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002277177,"about_ca_topic_score_gemma":0.0002482149,"domain_scores_codex":[0.9990371,0.00002370871,0.000378138,0.0001966622,0.000157616,0.000206726],"domain_scores_gemma":[0.999548,0.0001136485,0.0001474855,0.00003849489,0.00007773249,0.0000746178],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001018991,0.0009548398,0.06670751,0.0001124672,0.0005593974,0.000001336171,0.0002268468,0.00004369459,0.8949546,0.00001413729,0.0007662705,0.03555703],"study_design_scores_gemma":[0.002317517,0.001234947,0.8613094,0.0002517548,0.0006293446,0.000004586946,0.00104003,0.01869685,0.1086116,0.0001635171,0.005201816,0.0005385787],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974096,0.001007072,0.0001410883,0.0006743581,0.00003385821,0.0003647078,0.0003231543,0.00001101419,0.00003510023],"genre_scores_gemma":[0.9965398,0.0003634746,0.002402705,0.00004821352,0.00001492953,0.00003538587,0.0005570391,8.189191e-7,0.00003761429],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7946019,"threshold_uncertainty_score":0.3442426,"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."}}