{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003910406,0.0003571012,0.0003654002,0.0003860153,0.0001157022,0.0002551444,0.0002419838,0.0003410828,8.31726e-7],"category_scores_gemma":[0.0000709297,0.00037767,0.00005570971,0.0004261881,0.00006422227,0.0003068634,0.0001432383,0.0002110861,0.00002194565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003641468,"about_ca_system_score_gemma":0.00001736235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006290729,"about_ca_topic_score_gemma":0.000007760276,"domain_scores_codex":[0.9983752,0.00002204696,0.0005747287,0.0003694394,0.0001824501,0.0004761625],"domain_scores_gemma":[0.9992383,0.00004160949,0.0001085777,0.0004443353,0.00009481698,0.00007234094],"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":[0.000001544826,0.00001352839,0.0007899969,0.0003990522,0.00001670527,0.000006741982,0.0002943881,0.004028697,0.992681,0.00002885908,0.0005122609,0.001227227],"study_design_scores_gemma":[0.0002483082,0.00003116019,0.0001957163,0.0005286391,0.0000344117,0.000249286,0.002078353,0.07926626,0.9109782,0.00002370055,0.005789073,0.0005769166],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9167334,0.01795145,0.0597719,0.00001701195,0.001114367,0.0003455108,0.00001249488,0.003949121,0.0001046802],"genre_scores_gemma":[0.9961104,0.0001520046,0.003446078,0.000002372695,0.00008691226,0.00001315193,0.000009337808,0.00009002627,0.00008971782],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08170282,"threshold_uncertainty_score":0.9998675,"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."}}