{"id":"W2133309348","doi":"10.1039/b703297h","title":"Flow of microgel capsules through topographically patterned microchannels","year":2007,"lang":"en","type":"article","venue":"Lab on a Chip","topic":"Microfluidic and Capillary Electrophoresis Applications","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Body orifice; Volumetric flow rate; Materials science; Flow velocity; Microfluidics; Nanotechnology; Chitosan; Aqueous solution; Chemistry; Chemical engineering; Flow (mathematics); Polymer chemistry; Mechanics","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":[0.0001643639,0.0002529904,0.0001820266,0.0001349967,0.0001443212,0.0003253847,0.0001456571,0.000204612,0.0002788917],"category_scores_gemma":[0.0003105451,0.0001201225,0.000200143,0.00009051529,0.0002482715,0.0003653172,0.0001818469,0.0002572582,0.0001075668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003619789,"about_ca_system_score_gemma":0.0003658051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001334347,"about_ca_topic_score_gemma":0.001465305,"domain_scores_codex":[0.9998776,0.00001434562,0.000007647059,0.00003910784,0.00002558887,0.00003574058],"domain_scores_gemma":[0.9997929,0.00007631364,0.00006291857,0.00001412928,0.0000255394,0.00002822133],"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":[0.00002576099,0.000008254598,0.0003442806,0.00001940425,0.000002107711,0.00002418847,0.00003521026,0.0004048518,0.9974173,0.00008390671,0.00002000509,0.001614628],"study_design_scores_gemma":[0.00001328165,0.0001899267,0.002744002,0.000006380165,0.000007741389,0.00004316767,0.00003814615,0.005522156,0.9898193,0.00004767174,0.001554744,0.00001333848],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900042,0.0004385517,0.008882316,0.00005272463,0.00002484064,0.00002841393,0.00008386333,0.00006742992,0.0004176926],"genre_scores_gemma":[0.9824927,0.0004838387,0.01566798,0.00005537045,0.00001431883,0.00003279039,0.0001129921,0.00002062978,0.001119466],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001334347,"threshold_uncertainty_score":0.002653182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007322243056552545,"score_gpt":0.2102603004285631,"score_spread":0.2029380573720105,"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."}}