{"id":"W3202094652","doi":"10.1039/d1lc00610j","title":"Interaction between positive and negative dielectric microparticles/microorganism in optoelectronic tweezers","year":2021,"lang":"en","type":"article","venue":"Lab on a Chip","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Key Research and Development Program of China","keywords":"Tweezers; Optical tweezers; Trapping; Dielectric; Nanotechnology; Materials science; Optoelectronics; Optics; Physics; Biology; Ecology","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":[0.0002645287,0.0003750301,0.0002774823,0.000149925,0.0002194481,0.0003883659,0.0003220786,0.0004366785,0.0003324153],"category_scores_gemma":[0.0002767531,0.0002063056,0.0002671416,0.0001348226,0.0003834628,0.0004606325,0.0004904245,0.0002909193,0.0001494623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000340295,"about_ca_system_score_gemma":0.0002107283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005197644,"about_ca_topic_score_gemma":0.0005889202,"domain_scores_codex":[0.9996978,0.00003799682,0.00001737923,0.00008290101,0.0001170503,0.00004690281],"domain_scores_gemma":[0.9998811,0.00004331668,0.00003525653,0.000009809703,0.0000151338,0.00001528295],"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":[0.00001967307,0.000009529748,0.0001461678,0.00006164829,0.000004403316,0.00006651355,0.00001914305,0.0002853934,0.9975256,0.0004033186,0.00003267684,0.001425941],"study_design_scores_gemma":[0.0000116463,0.0000574187,0.000561084,0.000003945959,0.00001279462,0.00008314851,0.00001317924,0.00723775,0.990504,0.000074768,0.001431868,0.000008391698],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9153598,0.002039767,0.0792247,0.0001620275,0.0001085725,0.00008062628,0.00007745372,0.0001984444,0.002748573],"genre_scores_gemma":[0.9670467,0.0007451567,0.02999427,0.0000868876,0.00001944071,0.00005674757,0.00005640167,0.00002510617,0.001969245],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005197644,"threshold_uncertainty_score":0.002469063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008518150847105626,"score_gpt":0.2159543242330199,"score_spread":0.2074361733859142,"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."}}