{"id":"W2108126249","doi":"10.1039/c3sm51403j","title":"Interfacial deflection and jetting of a paramagnetic particle-laden fluid: theory and experiment","year":2013,"lang":"en","type":"article","venue":"Soft Matter","topic":"Characterization and Applications of Magnetic Nanoparticles","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Engineering and Physical Sciences Research Council; King Abdullah University of Science and Technology; National Science Foundation","keywords":"Ferrofluid; Magnet; Deflection (physics); Mechanics; Paramagnetism; Materials science; Magnetic nanoparticles; Magnetic field; Scaling; Particle (ecology); Magnetic particle inspection; Jet (fluid); Deformation (meteorology); Physics; Condensed matter physics; Classical mechanics; Nanotechnology; Geometry; Composite material; Nanoparticle; Geology","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":[0.0005562654,0.0003531143,0.000436762,0.0004597556,0.0004464994,0.0007078899,0.0009529068,0.000964203,0.00119095],"category_scores_gemma":[0.001150164,0.0002188253,0.0003042125,0.0003379941,0.001140216,0.001049452,0.0005759222,0.0007608624,0.0001398819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005407788,"about_ca_system_score_gemma":0.0002058782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006159035,"about_ca_topic_score_gemma":0.0002112171,"domain_scores_codex":[0.9996784,0.00005362969,0.00001747772,0.00007614919,0.0001259481,0.00004839437],"domain_scores_gemma":[0.999435,0.0003710614,0.00005007342,0.00006439466,0.00004580688,0.00003376699],"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":[0.0003583592,0.0005280588,0.002780042,0.0002940833,0.00002412751,0.0006893409,0.0006461646,0.03416856,0.9296067,0.01784531,0.0003928831,0.01266631],"study_design_scores_gemma":[0.0001142859,0.0006751021,0.003483616,0.00002724277,0.00001650453,0.000240989,0.0001718179,0.6583074,0.3292209,0.006518311,0.001139699,0.00008413152],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9290781,0.0008349263,0.06389724,0.0004575948,0.00006722229,0.0001303224,0.0001517029,0.0004796631,0.004903242],"genre_scores_gemma":[0.9866179,0.0002933554,0.01226039,0.00005708874,0.00002313789,0.00004561219,0.00004744446,0.00002259156,0.0006324206],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00119095,"threshold_uncertainty_score":0.003984153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005001212722807916,"score_gpt":0.2031035897405193,"score_spread":0.1981023770177113,"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."}}