{"id":"W3034110854","doi":"10.1021/acs.langmuir.0c00301","title":"Bio-Inspired Passion Fruit-like Fe<sub>3</sub>O<sub>4</sub>@C Nanospheres Enabling High-Stability Magnetorheological Performances","year":2020,"lang":"en","type":"article","venue":"Langmuir","topic":"Vibration Control and Rheological Fluids","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Science Foundation of Shandong Province; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; Canada Research Chairs","keywords":"Magnetorheological fluid; Materials science; Dispersion stability; Suspension (topology); Calcination; Nanoparticle; Wetting; Hydrothermal circulation; Nanotechnology; Viscosity; Settling; Chemical engineering; Penetration (warfare); Dispersion (optics); Rheology; Composite material; Magnetic field; Chemistry; Optics; Organic chemistry; Physics; Thermodynamics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001990519,0.0004028683,0.0005137697,0.00004701905,0.0002720528,0.00009757642,0.0003309937,0.0003925155,0.0003004347],"category_scores_gemma":[0.0001483778,0.0002979107,0.0001924048,0.0004111743,0.0001437322,0.0003286522,0.0001496328,0.0004371887,0.0003703239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005495017,"about_ca_system_score_gemma":0.0000263452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009357809,"about_ca_topic_score_gemma":0.00002547368,"domain_scores_codex":[0.997857,0.0001189813,0.0005218303,0.0005359228,0.000347366,0.0006188462],"domain_scores_gemma":[0.9991383,0.0001532413,0.00006448224,0.0002736904,0.00007755303,0.0002927617],"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":[0.0001099229,0.00006004814,0.003535581,0.0001581446,0.00004855518,0.00003230569,0.000268646,0.001725458,0.961475,0.0008079483,0.003588572,0.0281898],"study_design_scores_gemma":[0.001232563,0.0004567548,0.0495413,0.00004457297,0.00004515844,0.000006546224,0.0001470388,0.07451905,0.8646945,0.0003418374,0.008208096,0.0007625768],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900815,0.001295883,0.003934085,0.001634758,0.0007280226,0.0003134005,0.00003887558,0.001294763,0.0006786941],"genre_scores_gemma":[0.9971644,0.0004489358,0.0002807957,0.001162999,0.0007392311,0.00006384507,0.00008395698,0.0000425621,0.00001332569],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09678051,"threshold_uncertainty_score":0.9999473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01564084821565952,"score_gpt":0.1919767353171405,"score_spread":0.176335887101481,"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."}}