{"id":"W2093507463","doi":"10.1021/nl903570c","title":"Directional Photofluidization Lithography for Nanoarchitectures with Controlled Shapes and Sizes","year":2009,"lang":"en","type":"article","venue":"Nano Letters","topic":"Nanofabrication and Lithography Techniques","field":"Engineering","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Nanolithography; Nanotechnology; Materials science; Nanostructure; Lithography; Nanomanufacturing; Fabrication; Nanoscopic scale; Photonics; Throughput; Polymer; Dip-pen nanolithography; Optoelectronics; 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":[0.00007704677,0.0001392556,0.0001776317,0.000240042,0.00007839492,0.00004798557,0.00005681509,0.00004512148,0.00000756594],"category_scores_gemma":[0.00001106864,0.0001097151,0.00007673028,0.0002545958,0.00004336668,0.0000606865,0.000002304216,0.00004143308,2.813806e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009240277,"about_ca_system_score_gemma":0.000004113419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002456428,"about_ca_topic_score_gemma":0.000001546769,"domain_scores_codex":[0.9994318,0.00001549301,0.0001391995,0.0001537469,0.0001064841,0.0001533076],"domain_scores_gemma":[0.9997426,0.00007544001,0.00002851487,0.00007512438,0.00003439556,0.00004397824],"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":[0.0002391523,0.0000219922,0.0008577338,0.00002914782,0.00008484151,7.949811e-7,0.0001554895,0.0003096318,0.9735224,0.00120467,0.00453424,0.01903988],"study_design_scores_gemma":[0.01867473,0.001324006,0.07587809,0.0002527626,0.0003427094,0.00008023033,0.00007942491,0.005561373,0.6679709,0.002995833,0.224704,0.002135967],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5912694,0.003051407,0.3946004,0.003996698,0.0001542115,0.002116087,0.00004210044,0.002486566,0.002283065],"genre_scores_gemma":[0.9778573,0.0001053835,0.02021043,0.001549939,0.00006458112,0.0001674393,0.00001243088,0.00001866144,0.0000138734],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3865878,"threshold_uncertainty_score":0.4474052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003166057569588764,"score_gpt":0.1927040903889201,"score_spread":0.1895380328193314,"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."}}