{"id":"W3134770114","doi":"","title":"A microfluidic chip with dielectrophoresis-based single cell manipulation for multi-drug risistance study","year":2009,"lang":"en","type":"article","venue":"13th International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2009","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"BC Cancer Agency; Simon Fraser University","funders":"","keywords":"Dielectrophoresis; Microfluidics; Lab-on-a-chip; Nanotechnology; Microfluidic chip; Chip; Computer science; Materials science; Telecommunications","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":[0.0003345563,0.0003165536,0.0003177027,0.00008867509,0.0002422284,0.0002047352,0.0004102655,0.0001357528,0.00001105256],"category_scores_gemma":[0.00005785474,0.0002619342,0.000069998,0.0001750489,0.0001428949,0.00009529386,0.00001439479,0.0001610916,0.000001940583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009635337,"about_ca_system_score_gemma":0.0001060289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001490978,"about_ca_topic_score_gemma":0.000003380869,"domain_scores_codex":[0.9984239,0.00001962449,0.0003966673,0.0005345311,0.0002569749,0.0003682763],"domain_scores_gemma":[0.9992756,0.00006755989,0.0001665379,0.0002088234,0.0001931246,0.0000883674],"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":[0.0003579836,0.0003014894,0.0001349979,0.0001546451,0.00003659652,0.000003262173,0.0001292664,0.00007679142,0.9904405,0.0001420605,0.007755846,0.0004665988],"study_design_scores_gemma":[0.005690081,0.001202306,0.0004127688,0.0004670618,0.00007735938,0.00002200591,0.001843656,0.05108952,0.9234619,0.0001220997,0.01469468,0.0009166196],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9736934,0.007163098,0.01533226,0.0005463531,0.0003390729,0.001600151,0.0002758164,0.0003317957,0.0007180778],"genre_scores_gemma":[0.9932836,0.0003535726,0.005534679,0.00008175315,0.0001131034,0.00008319467,0.00007179043,0.00001832502,0.0004600064],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06697863,"threshold_uncertainty_score":0.9999833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04301958359158549,"score_gpt":0.2657470744823202,"score_spread":0.2227274908907347,"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."}}