{"id":"W2138485117","doi":"10.1109/mcas.2004.1337805","title":"Sensing methods for dielectrophoresis phenomenon: from bulky instruments to lab-on-a-chip","year":2004,"lang":"en","type":"article","venue":"IEEE Circuits and Systems Magazine","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Dielectrophoresis; Miniaturization; Lab-on-a-chip; Chip; Nanotechnology; System on a chip; Computer science; Biochip; Engineering; Electronic engineering; Electrical engineering; Materials science; Embedded system; Microfluidics","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":[0.00165026,0.001061339,0.0009797058,0.001650336,0.0004424525,0.001529038,0.001361972,0.001402663,0.003485083],"category_scores_gemma":[0.00166262,0.0006204427,0.0004447238,0.0008987663,0.00134895,0.002326202,0.001614589,0.002461141,0.003558917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007783589,"about_ca_system_score_gemma":0.0004209589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004020802,"about_ca_topic_score_gemma":0.0005461219,"domain_scores_codex":[0.996371,0.0003586304,0.0001110623,0.000570739,0.002494318,0.00009425932],"domain_scores_gemma":[0.9987588,0.0003866227,0.0001136314,0.0001661685,0.0004900998,0.00008474382],"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":[0.0001023399,0.0001296883,0.0003383029,0.00162086,0.00006809967,0.0001141737,0.0002914623,0.0005027018,0.7185794,0.01301448,0.01030458,0.2549339],"study_design_scores_gemma":[0.00005249759,0.0003998584,0.001134319,0.0002019294,0.00004616925,0.0008204483,0.0001281483,0.006697788,0.7466012,0.007611084,0.2361735,0.0001329045],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02372756,0.09306172,0.8458568,0.00585533,0.003200031,0.0007390612,0.0003941043,0.003164337,0.02400116],"genre_scores_gemma":[0.100171,0.05903372,0.787891,0.007136785,0.001400651,0.001349614,0.0006289638,0.0006229631,0.04176524],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003485083,"threshold_uncertainty_score":0.01165879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02552651125339058,"score_gpt":0.2641089547580161,"score_spread":0.2385824435046255,"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."}}