{"id":"W2972656729","doi":"10.1117/12.2528394","title":"Colloidal lithography for trapping 10 nm enzymes","year":2019,"lang":"en","type":"article","venue":"","topic":"Orbital Angular Momentum in Optics","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Optical tweezers; Materials science; Tweezers; Lithography; Finite-difference time-domain method; Plasmon; Fabrication; Nanotechnology; Nanolithography; Aperture (computer memory); Trapping; Photolithography; Optics; Characterization (materials science); Optoelectronics; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001505242,0.0002573235,0.0002096059,0.0002064983,0.0001652483,0.0003277826,0.0002247524,0.0003591693,0.0008059058],"category_scores_gemma":[0.0002378876,0.0001947431,0.0001960346,0.0001461793,0.0002532447,0.0001667144,0.0002564983,0.0004353251,0.0004874859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004515755,"about_ca_system_score_gemma":0.0003775308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001154496,"about_ca_topic_score_gemma":0.002253524,"domain_scores_codex":[0.9998217,0.00001636425,0.00001246951,0.0000331657,0.00009630938,0.00001990081],"domain_scores_gemma":[0.9998788,0.00004288253,0.00002650026,0.00002006397,0.000016293,0.00001546885],"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":[0.000008097693,0.000005358285,0.00005061454,0.0000333803,0.000001604569,0.00003658966,0.000009953325,0.0002424376,0.9976197,0.0002842403,0.00005933879,0.001648749],"study_design_scores_gemma":[0.00001026632,0.0000521048,0.000626029,0.000007832594,0.000004832867,0.0002543798,0.000009221749,0.007271198,0.9882542,0.000116735,0.00338463,0.000008618582],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8121221,0.006085144,0.1693391,0.0006728347,0.0004060223,0.0001287167,0.0003908814,0.0008848521,0.009970289],"genre_scores_gemma":[0.7736723,0.001689692,0.2188018,0.0001163686,0.00002170404,0.00007875123,0.0002055345,0.00005279126,0.005361018],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001154496,"threshold_uncertainty_score":0.003276467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004561012452228694,"score_gpt":0.2185585853472145,"score_spread":0.2139975728949858,"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."}}