{"id":"W2598381915","doi":"10.1038/micronano.2015.31","title":"Single living cell manipulation and identification using microsystems technologies","year":2015,"lang":"en","type":"article","venue":"Microsystems & Nanoengineering","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Concordia University","funders":"","keywords":"Dielectrophoresis; Microsystem; Materials science; Circulating tumor cell; Biomedical engineering; Radio frequency; Identification (biology); Computer science; Nanotechnology; Microfluidics; Engineering; Medicine","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":[0.0003077351,0.0003328856,0.0003585373,0.0003821143,0.0002463961,0.0005009431,0.0004135674,0.0004043799,0.002218938],"category_scores_gemma":[0.0002333037,0.0002246844,0.0002476202,0.0001859066,0.0003106339,0.0004636087,0.000410806,0.0005594349,0.001377542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003263039,"about_ca_system_score_gemma":0.0002362293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001351178,"about_ca_topic_score_gemma":0.0002252719,"domain_scores_codex":[0.9995647,0.00003066145,0.00003259266,0.0001306598,0.0002116538,0.00002966402],"domain_scores_gemma":[0.9998465,0.00004426993,0.00002805517,0.0000352543,0.00003288946,0.00001311595],"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":[0.00001935946,0.00001308901,0.0001144134,0.00007338269,0.000004251317,0.00004296562,0.00003778888,0.0001710288,0.9827318,0.001732483,0.0003248829,0.01473469],"study_design_scores_gemma":[0.000004863717,0.00006815888,0.0003611313,0.000008277139,0.000005990501,0.000196386,0.0000130605,0.002490148,0.9827759,0.0004091991,0.01365785,0.000008988709],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2067562,0.005617778,0.7689791,0.0007233948,0.0007229147,0.0003811581,0.0006061243,0.003598479,0.01261491],"genre_scores_gemma":[0.4548417,0.002522504,0.5213064,0.0002737326,0.0001369927,0.0006003957,0.0007064156,0.0001784127,0.0194335],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002218938,"threshold_uncertainty_score":0.007423043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02532736757957636,"score_gpt":0.194704211846492,"score_spread":0.1693768442669157,"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."}}