{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004314022,0.0007475555,0.001073855,0.0008017745,0.0004597579,0.0006794037,0.001982018,0.001257557,0.004262007],"category_scores_gemma":[0.0007102787,0.0005256184,0.0005731562,0.0003211602,0.0003565455,0.0007215043,0.0006792853,0.000722773,0.002995909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006805663,"about_ca_system_score_gemma":0.001116078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005641873,"about_ca_topic_score_gemma":0.001084985,"domain_scores_codex":[0.9992785,0.00003970649,0.00003695074,0.0002131147,0.0003418969,0.00008994606],"domain_scores_gemma":[0.9992409,0.000151354,0.0001047109,0.00008975931,0.0003085684,0.0001047785],"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":[0.0001017192,0.00006752254,0.0003840578,0.0002655923,0.00003193194,0.0001123644,0.00002818548,0.0004840469,0.957001,0.0009499828,0.001876668,0.03869689],"study_design_scores_gemma":[0.00008160527,0.000943526,0.001823473,0.00004225719,0.000111712,0.00169867,0.0000302089,0.01670884,0.9550948,0.0004099174,0.02298165,0.00007337645],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09330097,0.003930729,0.8879722,0.0009144156,0.0009885452,0.0006957556,0.001379721,0.003786065,0.007031569],"genre_scores_gemma":[0.2598106,0.001161676,0.7276512,0.0009017126,0.0003449692,0.0008526373,0.0009813205,0.0001285133,0.008167403],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004262007,"threshold_uncertainty_score":0.01425779,"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."}}