{"id":"W2053153273","doi":"10.1063/1.4892542","title":"Microfluidic conformal coating of non-spherical magnetic particles","year":2014,"lang":"en","type":"article","venue":"Biomicrofluidics","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Surface tension; Coating; Microfluidics; Particle (ecology); Magnetic nanoparticles; SPHERES; Laminar flow; Nanotechnology; Composite material; Nanoparticle; Mechanics; Physics","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":[0.0001399368,0.0002519361,0.0001795886,0.0001669857,0.0001143792,0.0002677546,0.0003486508,0.0003139578,0.0004686947],"category_scores_gemma":[0.0002395564,0.0001612076,0.0002734348,0.00009081123,0.0002096613,0.0001706137,0.0003709004,0.0002771676,0.0002413625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000239041,"about_ca_system_score_gemma":0.0001789486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000604867,"about_ca_topic_score_gemma":0.0006178737,"domain_scores_codex":[0.999818,0.00001601603,0.00001065763,0.00004581198,0.0000711093,0.00003842925],"domain_scores_gemma":[0.9998752,0.00002429719,0.00004355796,0.0000212641,0.00001695533,0.0000187905],"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":[0.00002142138,0.00002581187,0.0001858388,0.00004930158,0.000005846669,0.0001133566,0.00002397992,0.0005251214,0.9932466,0.0007082467,0.00008773179,0.005006823],"study_design_scores_gemma":[0.00001748673,0.000161459,0.00130017,0.000003812406,0.000009610362,0.0002196064,0.000007793635,0.006682156,0.9877155,0.0001038786,0.003767119,0.00001123896],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8884947,0.001573274,0.1026473,0.0001744379,0.0002612502,0.0001469193,0.0001380999,0.0006479417,0.005916121],"genre_scores_gemma":[0.959655,0.0006644222,0.0367487,0.0001014261,0.00004350744,0.00004902755,0.000112172,0.00003210485,0.002593689],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000604867,"threshold_uncertainty_score":0.001734376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008503448058125545,"score_gpt":0.1971400011550252,"score_spread":0.1886365530968997,"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."}}