{"id":"W4408849892","doi":"10.70477/lxaw5548","title":"EXPERIMENTAL CHARACTERIZATION OF THE DYNAMIC RESPONSE OF FLUID SAMPLE TUBING FOR THE IMPROVEMENT OF FEEDBACK DROPLET MICROLFUIDIC CONTROL SYSTEMS","year":2024,"lang":"en","type":"article","venue":"","topic":"Innovative Microfluidic and Catalytic Techniques Innovation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Feedback control; Sample (material); Characterization (materials science); Control theory (sociology); Computer science; Materials science; Control engineering; Control (management); Engineering; Chemistry; Nanotechnology; Chromatography","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":[0.001069298,0.0004840322,0.0002153671,0.0002345143,0.0003492273,0.0003561924,0.0005522667,0.0005914958,0.001758718],"category_scores_gemma":[0.003275085,0.0001608443,0.0002503282,0.0002153659,0.000416641,0.0005980756,0.0003251087,0.000430061,0.0002643321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004840661,"about_ca_system_score_gemma":0.0002702644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007356271,"about_ca_topic_score_gemma":0.0006820926,"domain_scores_codex":[0.999092,0.0001137405,0.00006874068,0.0002037838,0.0004153417,0.0001064591],"domain_scores_gemma":[0.9986503,0.0005745954,0.0001857291,0.0001826371,0.000364652,0.00004218537],"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":[0.00007586383,0.00005004471,0.000375245,0.00008214838,0.00000269207,0.00003325767,0.00007716699,0.0006939594,0.9930178,0.0001421071,0.00007605007,0.005373727],"study_design_scores_gemma":[0.000003554518,0.0001874787,0.00127506,0.00000259372,0.00000296146,0.00001730116,0.00001424312,0.004014025,0.9939168,0.0000221155,0.0005384553,0.000005483338],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9274178,0.0004307596,0.06945076,0.000204221,0.0001125377,0.0001860741,0.0004263002,0.0005534936,0.001217979],"genre_scores_gemma":[0.9708344,0.0001842223,0.02783149,0.00004589282,0.00001515794,0.0001348596,0.000150805,0.00004548598,0.0007576466],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001758718,"threshold_uncertainty_score":0.005883515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00777490978718032,"score_gpt":0.2316744912362333,"score_spread":0.223899581449053,"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."}}