{"id":"W2000130347","doi":"10.1016/j.jcis.2010.08.062","title":"Particle separation by a moving air–liquid interface in a microchannel","year":2010,"lang":"en","type":"article","venue":"Journal of Colloid and Interface Science","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Microchannel; Particle (ecology); Drag; Liquid liquid; Microfluidics; Interface (matter); Materials science; Separation (statistics); Particle size; Mechanics; Analytical Chemistry (journal); Chromatography; Chemistry; Nanotechnology; Composite material; Capillary number; Physics; Capillary action","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":[0.000353047,0.000357014,0.0005289604,0.0003389862,0.0007866409,0.0008132198,0.0008543737,0.0007686584,0.001180935],"category_scores_gemma":[0.0003217821,0.0003464101,0.0003362617,0.000167465,0.0004653563,0.0008129714,0.0005515736,0.0005360094,0.0004148995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005039815,"about_ca_system_score_gemma":0.0006906583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009105834,"about_ca_topic_score_gemma":0.0008439018,"domain_scores_codex":[0.9996934,0.00003245863,0.00002155577,0.0001317045,0.00007395822,0.00004688918],"domain_scores_gemma":[0.9997806,0.00008498486,0.00003441146,0.00002204641,0.00003463046,0.0000432194],"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":[0.0002753339,0.00006091176,0.0003522635,0.00006496661,0.00001265175,0.000121773,0.0000506711,0.001196409,0.9912277,0.001688984,0.0002487508,0.004699679],"study_design_scores_gemma":[0.0001575894,0.0005116268,0.00104928,0.00001033546,0.00002999354,0.000132267,0.00003279965,0.05090465,0.9428341,0.0006759231,0.003618112,0.00004325546],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9574463,0.0009627916,0.03750953,0.0004202873,0.0002029341,0.00005597989,0.0001114814,0.0004168518,0.00287393],"genre_scores_gemma":[0.9601295,0.0002982563,0.03454037,0.0001285733,0.0001138706,0.00004549799,0.00009457434,0.00003364077,0.004615643],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001180935,"threshold_uncertainty_score":0.003950655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005527890236305198,"score_gpt":0.2470154127298782,"score_spread":0.241487522493573,"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."}}