{"id":"W2297095214","doi":"10.1007/s10404-009-0493-7","title":"Methods for counting particles in microfluidic applications","year":2009,"lang":"en","type":"review","venue":"Microfluidics and Nanofluidics","topic":"Nanopore and Nanochannel Transport Studies","field":"Engineering","cited_by":133,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Higher Education Discipline Innovation Project; Canada Research Chairs","keywords":"Microfluidics; Coulter counter; Nanotechnology; Resistive touchscreen; Particle (ecology); Materials science; Lab-on-a-chip; Nanopore; Optoelectronics; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001704225,0.002135193,0.002535701,0.004409732,0.0005530783,0.001066276,0.003200841,0.001700804,0.002702205],"category_scores_gemma":[0.001312671,0.0009180799,0.000808928,0.002935084,0.001929272,0.002537136,0.001232915,0.00204204,0.003712129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001136283,"about_ca_system_score_gemma":0.001243145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001272842,"about_ca_topic_score_gemma":0.001759002,"domain_scores_codex":[0.9989192,0.0001079994,0.00008955756,0.0002310476,0.0005990166,0.00005324023],"domain_scores_gemma":[0.9992965,0.0003404809,0.00007246355,0.00006292435,0.0002017545,0.00002584655],"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":[0.00004886188,0.00008858449,0.0001840381,0.007996782,0.00006063494,0.000168012,0.00007564817,0.0005952056,0.05330758,0.009942096,0.009629874,0.9179026],"study_design_scores_gemma":[0.00001848715,0.0001382187,0.0008341215,0.001320883,0.0001546536,0.00223444,0.00007703515,0.001285767,0.1366442,0.007777723,0.8494031,0.0001114342],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001211319,0.920523,0.06763469,0.0005393208,0.00139095,0.0001487386,0.0001629034,0.0002186987,0.008170468],"genre_scores_gemma":[0.005995596,0.9169494,0.05792413,0.0007633221,0.00077947,0.0002760494,0.000232029,0.00004448172,0.01703562],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004409732,"threshold_uncertainty_score":0.00903976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03874010751097314,"score_gpt":0.3432699577460376,"score_spread":0.3045298502350645,"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."}}