{"id":"W2331169241","doi":"10.1115/mnhmt2009-18112","title":"Real-Time Measurement of Chemotherapeutic Drug Transport in an Individual Cancer Cell Selected in a Microfluidic Biochip","year":2009,"lang":"en","type":"article","venue":"","topic":"Microfluidic and Capillary Electrophoresis Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Biochip; Multiple drug resistance; Efflux; P-glycoprotein; Drug resistance; Cancer cell; Chemotherapeutic drugs; Drug; Cancer; Chemotherapy; Leukemia; Microfluidics; Cell; Cancer research; Pharmacology; Chemistry; Medicine; Biology; Nanotechnology; Microbiology; Immunology; Materials science; Bioinformatics; Biochemistry; Internal 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":[0.000225085,0.0002362977,0.0003321758,0.0002348813,0.0002544008,0.0004116246,0.0003621325,0.0003897588,0.0004876862],"category_scores_gemma":[0.0002612441,0.0001210257,0.0001179487,0.0002893854,0.0002447008,0.0004392094,0.0001956889,0.0003854759,0.0001701637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004114014,"about_ca_system_score_gemma":0.0002347259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004888822,"about_ca_topic_score_gemma":0.0006039946,"domain_scores_codex":[0.9998348,0.00001633864,0.00001017743,0.00006033873,0.00005320493,0.00002524792],"domain_scores_gemma":[0.9998356,0.00006072156,0.00002822813,0.00001803749,0.0000390662,0.00001823345],"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":[0.00004392592,0.00001673503,0.0002615529,0.0000190335,0.00000291169,0.00003471931,0.00003589809,0.0001066623,0.9973815,0.00009474281,0.00003518563,0.001967184],"study_design_scores_gemma":[0.000005711858,0.0001150447,0.001078567,0.000002044593,0.000007631642,0.00006137589,0.00002559824,0.004965155,0.9930941,0.00003616787,0.0006016412,0.000007038783],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9702612,0.0008980395,0.02699387,0.0001589061,0.00007491021,0.00004028566,0.0002752983,0.0002240607,0.0010733],"genre_scores_gemma":[0.9680843,0.0006910349,0.02938904,0.00007150727,0.00002741001,0.00008828454,0.0001568821,0.00002024755,0.001471288],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004888822,"threshold_uncertainty_score":0.002985001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01016471842487959,"score_gpt":0.2135384917912301,"score_spread":0.2033737733663505,"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."}}