{"id":"W3070045692","doi":"10.1109/pn50013.2020.9167024","title":"The impact of transit time on a microflow cytometer for particle classification","year":2020,"lang":"en","type":"article","venue":"","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Microfluidics; Sorting; Transit time; SIGNAL (programming language); Particle (ecology); Computer science; Volumetric flow rate; Materials science; Nanotechnology; Electronic engineering; Engineering; Physics; Mechanics; Algorithm","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":[0.002441204,0.0006773691,0.0005006338,0.000901026,0.0007346338,0.001181155,0.0008298003,0.0009050661,0.00100413],"category_scores_gemma":[0.004475778,0.0003524255,0.000465702,0.0005378395,0.0006966896,0.001551467,0.0004534093,0.001024502,0.0004696383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001134153,"about_ca_system_score_gemma":0.001353313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00157148,"about_ca_topic_score_gemma":0.002269487,"domain_scores_codex":[0.9985315,0.0002601715,0.0001162733,0.0003470845,0.0006154,0.0001296188],"domain_scores_gemma":[0.993964,0.003953449,0.0006501845,0.0002441987,0.0009267108,0.0002615142],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0004938624,0.00005423374,0.001883086,0.00009431303,0.00001213005,0.00005805932,0.0001104451,0.0004149702,0.9830687,0.0005355313,0.0001665797,0.0131081],"study_design_scores_gemma":[0.0000211758,0.0005359068,0.003334716,0.00001273714,0.00005821861,0.0002074769,0.00004685783,0.02018665,0.9736562,0.0002258401,0.001685287,0.00002898361],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7233904,0.006859962,0.2628812,0.001173062,0.0009893652,0.0002815201,0.0003366388,0.001454938,0.002632958],"genre_scores_gemma":[0.8571135,0.002419863,0.1357632,0.0006186197,0.0002377592,0.0001631417,0.0003278946,0.0002807401,0.003075442],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002441204,"threshold_uncertainty_score":0.01291043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03324607401580044,"score_gpt":0.2472365817965173,"score_spread":0.2139905077807169,"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."}}