{"id":"W1734360202","doi":"10.1109/iscas.2006.1693343","title":"A single CMOS chip for biocell trapping, levitation, detection and characterization","year":2006,"lang":"en","type":"article","venue":"","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Levitation; Chip; CMOS; Trapping; Characterization (materials science); System on a chip; Electronic engineering; Computer science; Materials science; Electrical engineering; Optoelectronics; Engineering; Embedded system; Nanotechnology","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":[0.00003295958,0.00006842108,0.00005928738,0.0000637607,0.00004719765,0.00002937585,0.00002109814,0.0000723286,0.000003646413],"category_scores_gemma":[0.000007797215,0.00006333284,0.00001560772,0.00008054489,0.00001989399,0.00006228527,0.000004407292,0.00002486161,0.000002373774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001610896,"about_ca_system_score_gemma":0.000001628813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009084642,"about_ca_topic_score_gemma":0.00001192283,"domain_scores_codex":[0.9996934,0.000002484504,0.00009855236,0.00008641678,0.00002596881,0.00009317676],"domain_scores_gemma":[0.9998903,0.00001104717,0.00001492979,0.00005458603,0.00002080669,0.000008380062],"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":[0.000001947849,0.000007230191,0.00007039778,0.00002727359,0.000002785584,8.742044e-8,0.00001530789,0.000005400076,0.9661606,0.0001463542,0.0005176074,0.03304499],"study_design_scores_gemma":[0.0001522889,0.00003630203,0.002918534,0.000008410466,0.000006744212,0.000004031687,0.00002811839,0.008130698,0.9713246,0.0004579661,0.01683431,0.00009796534],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6718225,0.0001224487,0.3267358,0.00008866309,0.00007795939,0.0001303054,0.000004503763,0.0006577566,0.0003600869],"genre_scores_gemma":[0.9976642,0.00004486901,0.001938488,0.00001633135,0.00005030639,0.000007744004,0.00003233043,0.0000119707,0.0002337276],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3258418,"threshold_uncertainty_score":0.2582638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01012802649585991,"score_gpt":0.1738047943323254,"score_spread":0.1636767678364655,"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."}}