{"id":"W1983049841","doi":"10.1039/c4lc00661e","title":"An optoelectrokinetic technique for programmable particle manipulation and bead-based biosignal enhancement","year":2014,"lang":"en","type":"article","venue":"Lab on a Chip","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Cheng Kung University; Ministry of Education, Science and Technology; National Research Foundation of Korea; Ministry of Science and Technology","keywords":"Bead; Electrokinetic phenomena; Magnetic bead; Particle (ecology); Nanotechnology; Biosignal; Microfluidics; SIGNAL (programming language); Materials science; Computer science; Chemistry; Chromatography; Biology; Telecommunications","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":[0.0001332053,0.00009680556,0.00008726039,0.00003792314,0.00004668289,0.00003152749,0.00005743136,0.00007073491,0.000004888672],"category_scores_gemma":[0.00001240838,0.00008564016,0.00001653762,0.00007463543,0.00002704868,0.00002822924,0.000006063343,0.00005713008,0.000003030768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002277138,"about_ca_system_score_gemma":0.000004076878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003516738,"about_ca_topic_score_gemma":0.000002628155,"domain_scores_codex":[0.9994969,0.0000116552,0.0001019772,0.0001379567,0.0000540485,0.0001974133],"domain_scores_gemma":[0.999763,0.00002006867,0.00001636244,0.000156125,0.00001482704,0.0000296229],"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":[0.00001952276,0.00003440658,0.0001689497,0.00004265791,0.000004088578,2.128387e-7,0.00001156791,0.0001035269,0.9766878,0.002043885,0.0001920174,0.02069131],"study_design_scores_gemma":[0.0002640427,0.0005841944,0.0002635246,0.00002794857,0.000007663567,0.000001167483,0.000004217377,0.06786452,0.927654,0.0009924493,0.002226064,0.000110173],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7031139,0.00009071004,0.2955918,0.0001452947,0.00002799959,0.0004358061,0.000001973979,0.0005215891,0.00007097498],"genre_scores_gemma":[0.9823259,0.00001053977,0.01742114,0.00006794829,0.0000260146,0.0001051487,0.00001362755,0.00001680279,0.00001294597],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.279212,"threshold_uncertainty_score":0.3492304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01220762531673442,"score_gpt":0.2278563443042183,"score_spread":0.2156487189874839,"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."}}