{"id":"W3117716733","doi":"10.1093/nsr/nwaa301","title":"Reconfiguring confined magnetic colloids with tunable fluid transport behavior","year":2020,"lang":"en","type":"article","venue":"National Science Review","topic":"Micro and Nano Robotics","field":"Physics and Astronomy","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Fundamental Research Funds for the Central Universities; National Key Research and Development Program of China; Natural Science Foundation of Fujian Province; Chinese Academy of Sciences; Natural Sciences and Engineering Research Council of Canada; Overseas Expertise Introduction Project for Discipline Innovation; National Natural Science Foundation of China","keywords":"Microscale chemistry; Colloid; Microfluidics; Nanotechnology; Suspension (topology); Materials science; Chemical physics; Magnetic nanoparticles; Magnetic field; Complex fluid; Nanoparticle; Chemical engineering; Mechanics; Chemistry; Physics; Engineering","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":[0.0001379751,0.000189398,0.0002278397,0.0002890983,0.0002043342,0.0003244788,0.0002600096,0.0003450026,0.0007620298],"category_scores_gemma":[0.0002065276,0.0001828585,0.0001792133,0.0001462619,0.0003843045,0.000387642,0.0003191424,0.0002962575,0.0003591983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003095309,"about_ca_system_score_gemma":0.0001543546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000299819,"about_ca_topic_score_gemma":0.0006327478,"domain_scores_codex":[0.9999434,0.000008278424,0.000003232733,0.00001371663,0.00001804962,0.0000133529],"domain_scores_gemma":[0.9999442,0.000014303,0.00001443467,0.000005534919,0.00001089049,0.0000106609],"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":[0.00003598623,0.00002606843,0.0001939421,0.000265217,0.00001646404,0.0001112771,0.0000516674,0.001201815,0.9683464,0.00533478,0.0008959211,0.02352038],"study_design_scores_gemma":[0.0001505393,0.0005443541,0.004167728,0.00007655184,0.00007741323,0.0006398041,0.0001262865,0.03029823,0.8574661,0.007288454,0.09907848,0.00008611273],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8772972,0.04049685,0.04925608,0.001558001,0.000799416,0.0001083342,0.0001524448,0.000725787,0.0296059],"genre_scores_gemma":[0.9717078,0.01017193,0.01264135,0.0005036354,0.0001364587,0.00007682091,0.00008403015,0.00005670288,0.004621262],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007620298,"threshold_uncertainty_score":0.002549171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02431069305408674,"score_gpt":0.2699951521512511,"score_spread":0.2456844590971644,"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."}}