{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005753957,0.0001327349,0.0001638742,0.0001123408,0.0000385659,0.0000356597,0.00005656735,0.00009738247,0.000009881109],"category_scores_gemma":[0.00004765603,0.000131802,0.00002375272,0.0003732494,0.00003798415,0.00005847806,0.00003603476,0.0003246472,0.00002346309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001573688,"about_ca_system_score_gemma":0.00002041293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002938353,"about_ca_topic_score_gemma":0.00003706824,"domain_scores_codex":[0.9993146,0.00003602818,0.0001382614,0.0001943895,0.00005403548,0.0002626814],"domain_scores_gemma":[0.9997142,0.00009658012,0.00001973151,0.0001193482,0.00002055989,0.00002956818],"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":[0.00001360456,0.0000212134,0.001727739,0.00001347996,0.00003422568,0.00003000352,0.0003870742,0.00001568847,0.9746841,0.0003538788,0.0003450433,0.02237394],"study_design_scores_gemma":[0.0003204582,0.00008177073,0.01762779,0.00005569986,0.000012693,0.00002263432,0.0002186159,0.000291942,0.9801286,0.0006935078,0.0003952419,0.0001510366],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973099,0.001033034,0.0001951072,0.000415402,0.00005863255,0.00008143234,0.000006955086,0.0002262044,0.0006733902],"genre_scores_gemma":[0.9991332,0.0004068478,0.0002690646,0.00008976301,0.00002995239,0.000002531048,0.000009403755,0.00001969233,0.00003958478],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0222229,"threshold_uncertainty_score":0.5374731,"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."}}