{"id":"W2542644551","doi":"10.1109/idt.2009.5404148","title":"An electrical field sensor for micro/nano particles detection applications","year":2009,"lang":"en","type":"article","venue":"","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Chip; CMOS; Lab-on-a-chip; Nanotechnology; Nano-; Materials science; Integrated circuit; Biochip; Computer science; Electronic engineering; Electrical engineering; Engineering; Optoelectronics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003294444,0.00006816487,0.00006587623,0.00004335409,0.00005870993,0.00002123828,0.00006713991,0.00009859358,0.000005872341],"category_scores_gemma":[0.0000101632,0.00005969949,0.0000294351,0.0001189096,0.00001006565,0.00003895166,0.000003020184,0.00005415362,0.00001336293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001817182,"about_ca_system_score_gemma":0.000003031819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000284578,"about_ca_topic_score_gemma":0.000003472461,"domain_scores_codex":[0.9996075,0.000003222847,0.00009475386,0.0001051467,0.00002848232,0.0001608749],"domain_scores_gemma":[0.9997571,0.00002943702,0.000007676234,0.0001603736,0.00001952198,0.0000258744],"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":[0.000003676495,0.00001438651,0.00001684362,0.000002243201,0.000002547974,1.265556e-7,0.000005054434,0.0000118758,0.7815219,0.0004114326,0.002008902,0.216001],"study_design_scores_gemma":[0.00008192676,0.0001357044,0.000143226,0.000001308132,0.000007259706,0.000006416068,0.0000239009,0.008194218,0.9778552,0.001613347,0.01184637,0.00009112996],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2829844,0.0002091453,0.7144169,0.0003897472,0.00002834883,0.0002218717,0.000001822714,0.00148863,0.0002591009],"genre_scores_gemma":[0.9770657,0.00006294312,0.02259193,0.0001535982,0.00005388931,0.00001890566,0.000002633034,0.000006931594,0.00004340601],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6940814,"threshold_uncertainty_score":0.2434475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008841430069242876,"score_gpt":0.2260123898802712,"score_spread":0.2171709598110283,"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."}}