{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007240307,0.0001647611,0.0003258085,0.00006842594,0.00001380633,0.00001928204,0.0001587395,0.0001218778,0.00009299335],"category_scores_gemma":[0.00001358253,0.0001260043,0.00003598786,0.0001371721,0.0001026262,0.00007562959,0.00004039317,0.0001003924,0.00004955674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002647795,"about_ca_system_score_gemma":0.00001036645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003367431,"about_ca_topic_score_gemma":0.000001031606,"domain_scores_codex":[0.999127,0.00001096717,0.000235806,0.0001849014,0.000107447,0.0003338731],"domain_scores_gemma":[0.9995744,0.00004179943,0.00003216517,0.0002835305,0.00003068239,0.00003745404],"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":[0.00004880513,0.00001482589,0.0002226039,0.00008241418,0.00002600667,0.000004268392,0.000006733792,0.00008599294,0.99589,0.002141177,0.00004293438,0.001434286],"study_design_scores_gemma":[0.0003592956,0.000245508,0.0008381577,0.00007400283,0.00001527602,0.00001614293,0.00002921123,0.00001557341,0.997359,0.0002193523,0.0006459919,0.0001824741],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959869,0.00020635,0.002445913,0.00007479043,0.0002035692,0.0001829682,0.00001243915,0.0003650095,0.0005220716],"genre_scores_gemma":[0.991235,0.0001899429,0.008460296,0.0000240847,0.00001853908,0.000005834048,0.000008085602,0.00003032925,0.00002795681],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006014384,"threshold_uncertainty_score":0.5138306,"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."}}