{"id":"W2885005114","doi":"10.1038/s41598-018-29304-x","title":"3D Printed Microfluidic Probes","year":2018,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Microfluidic and Capillary Electrophoresis Applications","field":"Engineering","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier de l’Université de Montréal; Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; York University; New York University Abu Dhabi","keywords":"Stereolithography; Microfluidics; Nanotechnology; Fabrication; 3D printing; Surface micromachining; Computer science; Materials science; Rapid prototyping; Engineering drawing; Engineering","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":[0.0003311905,0.0004211425,0.0003499321,0.000537615,0.0002860885,0.001008976,0.001145644,0.001089402,0.00484209],"category_scores_gemma":[0.000879011,0.0003312082,0.0005569351,0.0003127622,0.0005105447,0.0005897172,0.0007579813,0.0007066163,0.002581396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005474333,"about_ca_system_score_gemma":0.0002557722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002910213,"about_ca_topic_score_gemma":0.0004423104,"domain_scores_codex":[0.9991654,0.0000583728,0.00004686299,0.000174852,0.00049368,0.00006088327],"domain_scores_gemma":[0.9993901,0.0002001972,0.0001231979,0.0001457305,0.0001066629,0.00003409676],"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":[0.00006443688,0.00005257334,0.0004310231,0.0003494398,0.00002678186,0.0003161402,0.00008928745,0.006121135,0.9226295,0.006556222,0.00383881,0.05952464],"study_design_scores_gemma":[0.00001396892,0.0001377035,0.000719159,0.00002144256,0.00001852103,0.0005927647,0.00001589347,0.01039352,0.9407101,0.001218255,0.04610459,0.00005403815],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.177379,0.007265141,0.7434529,0.00178953,0.002871308,0.0004481008,0.003617265,0.009493456,0.05368329],"genre_scores_gemma":[0.4738081,0.003351522,0.4961545,0.001560947,0.0003188243,0.0004885143,0.001519809,0.0004065139,0.02239124],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00484209,"threshold_uncertainty_score":0.01619846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007160693188316955,"score_gpt":0.2098415307131787,"score_spread":0.2026808375248617,"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."}}