{"id":"W2022102744","doi":"10.1039/c3lc50355k","title":"Recent advances in microfluidic techniques for single-cell biophysical characterization","year":2013,"lang":"en","type":"review","venue":"Lab on a Chip","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":268,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Microfluidics; Nanotechnology; Characterization (materials science); Biochemical engineering; Computer science; Living cell; Engineering; Biology; Materials science; Biological system","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":[0.00008210053,0.0004375349,0.0009098634,0.0002874363,0.00003088229,0.00004690372,0.0002662044,0.0004977139,0.0000133],"category_scores_gemma":[0.00003163796,0.0003509815,0.0001660372,0.0003553652,0.0000507499,0.00009253302,0.00004599445,0.0003375511,0.000076241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000182621,"about_ca_system_score_gemma":0.00002511607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":7.099227e-7,"about_ca_topic_score_gemma":3.156127e-7,"domain_scores_codex":[0.9987399,0.00003279366,0.0004546877,0.0003499756,0.00008978831,0.000332855],"domain_scores_gemma":[0.9994034,0.00007223339,0.0001176694,0.0003425636,0.0000307613,0.00003343026],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000231934,0.0000609272,1.735965e-7,0.004643508,0.000007308406,0.000001921601,0.000006780925,2.761418e-8,0.08166452,0.00005922549,0.001656262,0.911897],"study_design_scores_gemma":[0.00007760419,0.00008763646,2.557933e-7,0.004272698,0.0000392308,0.000005005206,0.000002821383,0.00000846909,0.07916977,0.00004466068,0.9159358,0.0003560916],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001142663,0.995815,0.0007657111,0.00003034464,0.0002956345,0.001269359,0.00009667127,0.001068446,0.000544553],"genre_scores_gemma":[0.00002305838,0.9980843,0.0008188348,0.00003203914,0.0001527705,0.0002572381,0.0004234847,0.00009825417,0.0001100367],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9142795,"threshold_uncertainty_score":0.9998942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0318035707849853,"score_gpt":0.2634894090783328,"score_spread":0.2316858382933475,"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."}}