{"id":"W2899848973","doi":"10.1002/smll.201803342","title":"Patterned Optoelectronic Tweezers: A New Scheme for Selecting, Moving, and Storing Dielectric Particles and Cells","year":2018,"lang":"en","type":"article","venue":"Small","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; University of British Columbia; University of Toronto","funders":"University of Toronto; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; Canada Research Chairs","keywords":"Materials science; Optical tweezers; Photoconductivity; Optoelectronics; Electrode; Dielectric; Tweezers; Layer (electronics); Nanotechnology; Optics; Chemistry; 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":[0.0000970012,0.0001422883,0.0001382951,0.00007218138,0.00009084157,0.00005713302,0.00007872483,0.00009641444,0.000004433749],"category_scores_gemma":[0.0000386649,0.0001358754,0.00002173161,0.0001282788,0.00005310424,0.0000499862,0.00004579236,0.0001131748,0.000004090339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004245342,"about_ca_system_score_gemma":0.00002246782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005773514,"about_ca_topic_score_gemma":0.00006523903,"domain_scores_codex":[0.999228,0.000006000861,0.0001198602,0.000206634,0.00004129413,0.0003981806],"domain_scores_gemma":[0.999723,0.00004304029,0.00002320964,0.0001265085,0.00002427168,0.00005998588],"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":[0.00001116969,0.000005903832,0.002195989,0.00005876121,0.00003335366,7.887571e-7,0.0002633885,0.000001675867,0.9441875,0.000112035,0.002448277,0.05068113],"study_design_scores_gemma":[0.0004056021,0.0002698549,0.0004383653,0.00003624719,0.00002390685,0.00001075569,0.00007385019,0.006537589,0.9806495,0.0005945032,0.01073301,0.0002267978],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9738638,0.003928015,0.02124531,0.00008533624,0.00009446075,0.0001561499,0.000001275214,0.0005431143,0.00008254859],"genre_scores_gemma":[0.984442,0.0004921927,0.01464585,0.00003419846,0.0001727882,0.000006150808,9.343038e-7,0.00002889427,0.000176983],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05045433,"threshold_uncertainty_score":0.5540836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01596413827118511,"score_gpt":0.2078175226641016,"score_spread":0.1918533843929165,"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."}}