{"id":"W2969386438","doi":"10.1002/adom.201900669","title":"Assembly of Topographical Micropatterns with Optoelectronic Tweezers","year":2019,"lang":"en","type":"article","venue":"Advanced Optical Materials","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Canada First Research Excellence Fund; University of Toronto; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Microfabrication; Materials science; Tweezers; Nanotechnology; Microfluidics; PDMS stamp; Range (aeronautics); Optical tweezers; Optoelectronics; Fabrication; Optics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002224227,0.0002952624,0.0002169446,0.0002343945,0.0002310189,0.0003561545,0.0003575839,0.0003560861,0.000999524],"category_scores_gemma":[0.0003203789,0.000295657,0.0002672577,0.0001315935,0.0002897843,0.0003301175,0.0003484816,0.0003981933,0.0003486171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000399904,"about_ca_system_score_gemma":0.0001624014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006999272,"about_ca_topic_score_gemma":0.001031479,"domain_scores_codex":[0.9998419,0.00001241333,0.00001744165,0.00003986559,0.00005855488,0.00002979633],"domain_scores_gemma":[0.9998599,0.00003790124,0.00004604259,0.0000271933,0.00001739154,0.00001159525],"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":[0.00002123938,0.00002187847,0.0001176169,0.00003875687,0.000007051335,0.0000596212,0.00002449957,0.001982445,0.994167,0.0006642617,0.00014858,0.002747146],"study_design_scores_gemma":[0.00001526753,0.00004378625,0.0003962549,0.000003034913,0.000005204903,0.0000338231,0.000009703112,0.02020139,0.9768614,0.0001266824,0.002292104,0.00001136581],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8757245,0.001206963,0.115454,0.0002129745,0.0002298203,0.0001906337,0.0003634711,0.001184492,0.005433186],"genre_scores_gemma":[0.9067177,0.0004165371,0.08923177,0.00008051664,0.00003960204,0.0001212194,0.0002073127,0.00008382175,0.00310153],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000999524,"threshold_uncertainty_score":0.003343701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003122369064926106,"score_gpt":0.1876256670966981,"score_spread":0.184503298031772,"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."}}