{"id":"W4393382230","doi":"10.1007/978-981-97-0918-2_28","title":"Characterization of TiO2/Fe3O4 Reinforced Magnetorheological Fluid Blend","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in mechanical engineering","topic":"Vibration Control and Rheological Fluids","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Trinity College","funders":"","keywords":"Magnetorheological fluid; Materials science; Characterization (materials science); Composite material; Structural engineering; Engineering; Nanotechnology","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":[0.0001350611,0.0002642174,0.000197715,0.0004872321,0.000178106,0.0003062775,0.0001962753,0.0003127219,0.001447962],"category_scores_gemma":[0.0002084621,0.0001191832,0.0001682977,0.0003462174,0.0001525135,0.0002873597,0.0001319774,0.0002222279,0.0002758774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001500798,"about_ca_system_score_gemma":0.0001108614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006883926,"about_ca_topic_score_gemma":0.001045873,"domain_scores_codex":[0.9998863,0.000008175114,0.00001161349,0.00002960007,0.0000434978,0.00002088202],"domain_scores_gemma":[0.9998841,0.00002202772,0.00002908152,0.000009063187,0.00004142165,0.0000142225],"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":[0.00004923981,0.000009798751,0.0001479118,0.00001536956,0.000001793507,0.00003073841,0.00001138143,0.00004873224,0.9988744,0.00001469384,0.0000151648,0.0007807084],"study_design_scores_gemma":[0.000003574566,0.00006452657,0.002444791,0.000002856995,0.000007723477,0.00004165747,0.00003209206,0.0006640853,0.9961139,0.00001047424,0.0006090559,0.000005204068],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966537,0.0002906393,0.001773243,0.00002903673,0.00001686105,0.00001240869,0.0002446464,0.00007331159,0.0009061989],"genre_scores_gemma":[0.9934546,0.000215605,0.002221414,0.00002061298,0.000006233528,0.00001921579,0.0003928198,0.0000366245,0.003632788],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001447962,"threshold_uncertainty_score":0.00484395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006733572470319917,"score_gpt":0.1821308350435217,"score_spread":0.1753972625732018,"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."}}