{"id":"W2315973112","doi":"10.1021/la501723n","title":"Functional Polymer Sheet Patterning Using Microfluidics","year":2014,"lang":"en","type":"article","venue":"Langmuir","topic":"Nanofabrication and Lithography Techniques","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Microfluidics; Nanotechnology; Lithography; Fabrication; Materials science; PDMS stamp; Planar; Polymer; Nanoscopic scale; Optoelectronics; Computer science; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000601899,0.0000717487,0.00006721159,0.00007974069,0.00004299847,0.00001787004,0.00005422532,0.00004438934,0.0001455709],"category_scores_gemma":[0.000003538758,0.00007119291,0.0000396186,0.0001177869,0.00001274,0.00004801567,0.000009855609,0.00006295554,0.00003086271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000125937,"about_ca_system_score_gemma":0.000002141613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001332101,"about_ca_topic_score_gemma":4.326014e-7,"domain_scores_codex":[0.9996344,0.00001255791,0.00008820932,0.00007743458,0.00007163065,0.0001157321],"domain_scores_gemma":[0.9998285,0.00001180769,0.00001251277,0.00009807929,0.00002010533,0.00002894905],"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":[0.000005658638,0.00003122676,0.04023669,0.00009046788,0.00006445628,0.000002264195,0.0003392126,0.0001777435,0.8085934,0.004554763,0.08700899,0.0588951],"study_design_scores_gemma":[0.0003590254,0.00002141798,0.06444062,0.00004074468,0.00002946645,0.00002194698,0.0000429381,0.01699519,0.5166436,0.0002467475,0.4006425,0.0005157848],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5759178,0.001036012,0.4099495,0.00009774888,0.0004944025,0.00007459786,0.00001075793,0.001449056,0.01097018],"genre_scores_gemma":[0.9975529,0.00001058563,0.001751792,0.0002541487,0.0002304013,0.000005584505,0.00001805632,0.00002224342,0.0001543076],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4216351,"threshold_uncertainty_score":0.2903163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01295237773096755,"score_gpt":0.2063829348330329,"score_spread":0.1934305571020654,"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."}}