{"id":"W2288370632","doi":"10.1038/srep22294","title":"Laser Scanning Holographic Lithography for Flexible 3D Fabrication of Multi-Scale Integrated Nano-structures and Optical Biosensors","year":2016,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Photonic Crystals and Applications","field":"Physics and Astronomy","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Holography; Materials science; Lithography; Microfluidics; Nanotechnology; Laser; Photoresist; Nanostructure; Nanoscopic scale; Fabrication; Laser scanning; Interference lithography; Embossing; Maskless lithography; Photolithography; Nano-; Photonics; Optoelectronics; Optics; Resist; Electron-beam lithography; Physics","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":[0.0003393521,0.0001088569,0.000156144,0.0001569832,0.0002012465,0.000069093,0.00007470058,0.00003825476,0.00004712114],"category_scores_gemma":[0.00001791718,0.00007260469,0.0001030515,0.0004391287,0.0004365171,0.00009145336,0.00003324318,0.00003838348,7.970547e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005847636,"about_ca_system_score_gemma":0.00004699247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003385438,"about_ca_topic_score_gemma":0.000003533177,"domain_scores_codex":[0.9988703,0.0000130644,0.0003289562,0.0004672581,0.0001210452,0.0001994172],"domain_scores_gemma":[0.9990279,0.00004584717,0.0002287442,0.0003998169,0.0002137336,0.00008396545],"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":[0.000006773286,0.000110925,0.04167313,0.0000124547,0.0000339327,6.707063e-7,0.0001201816,0.000009609541,0.9141505,0.001478457,0.00104651,0.04135691],"study_design_scores_gemma":[0.0005504278,0.00004318177,0.02359245,0.00008178153,0.00006493266,0.00001218367,0.0003421243,0.0007393001,0.9156658,0.02743145,0.03117975,0.0002966281],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9450524,0.00005060833,0.05366981,0.00006388802,0.0003472233,0.0003719142,0.0000615767,0.00003793095,0.0003446928],"genre_scores_gemma":[0.9847007,0.00000174282,0.01448771,0.000003712294,0.00002899505,0.00008396631,0.00005747715,0.0000101176,0.0006256219],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04106028,"threshold_uncertainty_score":0.2960733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01464591748652938,"score_gpt":0.2681027131310998,"score_spread":0.2534567956445705,"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."}}