{"id":"W4243829483","doi":"10.1002/adfm.201604824","title":"Printed Microfluidics","year":2017,"lang":"en","type":"article","venue":"Advanced Functional Materials","topic":"Microfluidic and Capillary Electrophoresis Applications","field":"Engineering","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Abbott Laboratories","keywords":"Microfluidics; Nanotechnology; Scalability; Materials science; 3D printing; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006316917,0.0001214381,0.0001326626,0.00002805468,0.0003083207,0.00008962234,0.0001868196,0.00005609058,0.0009076282],"category_scores_gemma":[0.00002346887,0.0001215889,0.00003118432,0.0000242747,0.00005092234,0.000154387,0.00003614145,0.00005122518,0.0003847286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004032109,"about_ca_system_score_gemma":0.00001300034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003871088,"about_ca_topic_score_gemma":3.616474e-7,"domain_scores_codex":[0.9993919,0.000007041886,0.0001746478,0.0001511799,0.00008848916,0.0001867831],"domain_scores_gemma":[0.9993953,0.00001266161,0.00004642441,0.0004518073,0.00004504876,0.0000487892],"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":[0.00001586916,0.000007347691,0.00002468835,0.00001291516,0.00002114743,0.000001022681,0.000004572807,0.00001636196,0.966265,0.005179992,0.02736763,0.001083473],"study_design_scores_gemma":[0.0001832969,0.000009544815,0.006189294,0.000007827548,0.000007298499,0.000008596691,0.000004204747,0.000004228444,0.8352152,0.001320423,0.156931,0.0001191429],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9808812,0.004713593,0.007010373,0.000156324,0.001317298,0.0001954735,0.00006434345,0.0003138107,0.005347572],"genre_scores_gemma":[0.9859458,0.01275515,0.0001857318,0.00006739722,0.0002265677,0.00008662217,0.00006447608,0.00003205487,0.0006362529],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1310498,"threshold_uncertainty_score":0.9937891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01061615255209111,"score_gpt":0.2174507117067468,"score_spread":0.2068345591546557,"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."}}