{"id":"W4247403728","doi":"10.1002/ange.202007224","title":"Non‐Lithography Hydrodynamic Printing of Micro/Nanostructures on Curved Surfaces","year":2020,"lang":"en","type":"article","venue":"Angewandte Chemie","topic":"Nanomaterials and Printing Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"K. C. Wong Education Foundation; Youth Innovation Promotion Association of the Chinese Academy of Sciences; National Natural Science Foundation of China; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Microscale chemistry; Nanotechnology; Materials science; Nanostructure; Wafer; Lithography; Lattice Boltzmann methods; Template; Microfabrication; Transfer printing; Nanolithography; Microfluidics; Optoelectronics; Fabrication; Physics; Composite material","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":[0.00006749821,0.0001744681,0.0002570686,0.00005532408,0.00002968007,0.00002437677,0.0002515824,0.0001137839,0.0000311628],"category_scores_gemma":[0.00004145281,0.0001579512,0.00008568464,0.000212017,0.00005841431,0.00004428138,0.00007315625,0.000122183,0.000008614642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000921071,"about_ca_system_score_gemma":0.000005442253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001346067,"about_ca_topic_score_gemma":0.000001781284,"domain_scores_codex":[0.9992777,0.000005282707,0.0002280778,0.0001862696,0.00009294067,0.0002097559],"domain_scores_gemma":[0.9996471,0.00002784232,0.00005174611,0.0002128363,0.00002043065,0.00004002338],"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":[0.000009225913,0.000005175574,0.002931542,0.000211023,0.00003964374,0.000002588051,0.0001291872,0.000953041,0.9946647,0.00002608033,0.0003051461,0.0007225992],"study_design_scores_gemma":[0.000174861,0.00003504067,0.004853821,0.00005178544,0.00001147493,0.000001055082,0.00002934718,0.000379707,0.9929077,0.0001463271,0.001239021,0.0001698454],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969338,0.000362198,0.00003043893,0.0001678793,0.0001549385,0.000101917,0.00002108694,0.0005950977,0.001632713],"genre_scores_gemma":[0.9979452,0.0001423826,0.001766459,0.00003996673,0.00005248133,0.000005226161,0.000009947131,0.00003088625,0.000007441658],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001922279,"threshold_uncertainty_score":0.6441062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01146550268367153,"score_gpt":0.2010532731758942,"score_spread":0.1895877704922226,"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."}}