{"id":"W4414699115","doi":"10.1021/acs.analchem.5c03088","title":"EnGRAM: Engineering Open-Space Microfluidic Gradient Modulators","year":2025,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver Native Health Society; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Council for Higher Education; University of British Columbia; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Microscale chemistry; Microfluidics; Merge (version control); Rapid prototyping; Concentration gradient; Microfabrication","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":[0.0002180368,0.0002994733,0.0001843311,0.0002276668,0.0001402364,0.0004713422,0.0004868674,0.0002716802,0.001080146],"category_scores_gemma":[0.0002922183,0.0001813164,0.0001542401,0.0001338408,0.0003855232,0.0005079943,0.0006602999,0.000482763,0.0003983123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002519976,"about_ca_system_score_gemma":0.0002229061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001555586,"about_ca_topic_score_gemma":0.0003443443,"domain_scores_codex":[0.9998318,0.00001353104,0.000008287136,0.00002871042,0.00009122246,0.00002644564],"domain_scores_gemma":[0.9998838,0.00002877803,0.00003978969,0.00001523724,0.00001477516,0.0000175774],"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":[0.00005044398,0.00004023287,0.0002551891,0.000159939,0.000008803054,0.000132705,0.00008495363,0.002548176,0.9384859,0.01438933,0.000983179,0.04286116],"study_design_scores_gemma":[0.00001798972,0.0001375509,0.0002934112,0.0000118636,0.000008464402,0.0001996739,0.00001527913,0.01531325,0.9506902,0.001065181,0.03223139,0.00001571045],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4143996,0.004477845,0.5528315,0.0008289677,0.0006194188,0.0002321079,0.0004636798,0.003513173,0.02263367],"genre_scores_gemma":[0.7736554,0.001795292,0.2133205,0.0002840838,0.00007652809,0.0002203735,0.0002106922,0.0002708888,0.01016619],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001080146,"threshold_uncertainty_score":0.003613472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01059962965966782,"score_gpt":0.2726306014529805,"score_spread":0.2620309717933127,"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."}}