{"id":"W2755288233","doi":"10.1039/c7sm00987a","title":"3D shape evolution of microparticles and 3D enabled applications using non-uniform UV flow lithography (NUFL)","year":2017,"lang":"en","type":"article","venue":"Soft Matter","topic":"Innovative Microfluidic and Catalytic Techniques Innovation","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Toronto Metropolitan University; Toronto Public Health; St. Michael's Hospital","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Nanotechnology; Lithography; Materials science; 3D printing; Flow (mathematics); Optoelectronics; Mechanics; Physics; Composite material","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":[0.0001812511,0.0002107823,0.0001261938,0.0002511042,0.0001815768,0.0003516275,0.0001930776,0.0003585962,0.0004993513],"category_scores_gemma":[0.0002722976,0.0001811992,0.0002290339,0.00008503471,0.0003104924,0.0002603644,0.0003397804,0.0002939314,0.0002054139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003475068,"about_ca_system_score_gemma":0.000157944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000314894,"about_ca_topic_score_gemma":0.0005399745,"domain_scores_codex":[0.9998969,0.00001108821,0.000008015901,0.00002819811,0.00003834752,0.00001746751],"domain_scores_gemma":[0.9998605,0.00004685808,0.00004241661,0.00002113492,0.00001648421,0.00001262833],"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":[0.00001498517,0.00000802216,0.00009023114,0.00004259344,0.000002060127,0.00005085235,0.00003027075,0.0003857931,0.9924131,0.0005299857,0.00009156427,0.006340458],"study_design_scores_gemma":[0.000005317782,0.00003546373,0.0004662058,0.000003269377,0.000002424563,0.0001156472,0.000007556809,0.002971921,0.9934761,0.0001065769,0.002801198,0.000008405519],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8141704,0.003260132,0.173457,0.0003879982,0.0001378091,0.0001217569,0.0003928172,0.001580409,0.00649168],"genre_scores_gemma":[0.9002134,0.0009113343,0.09517279,0.0001876334,0.00002357882,0.0000984717,0.0001745507,0.00009741102,0.003120829],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004993513,"threshold_uncertainty_score":0.002521396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01005569963880718,"score_gpt":0.234617429332663,"score_spread":0.2245617296938558,"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."}}