{"id":"W2918283968","doi":"10.1088/1361-665x/ab0b5b","title":"Investigation of shear-induced physical and chemical transformations of Fe microparticles in hydrocarbon- and fluorocarbon-based magnetorheological fluids","year":2019,"lang":"en","type":"article","venue":"Smart Materials and Structures","topic":"Vibration Control and Rheological Fluids","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Consortium de Recherche et d’innovation en Aérospatiale au Québec","keywords":"Fluorocarbon; Magnetorheological fluid; Hydrocarbon; Materials science; Shear (geology); Composite material; Engineering; Organic chemistry; Chemistry; Structural 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008756978,0.0001041398,0.0002965712,0.00004096148,0.00001306008,0.00001615604,0.00003237923,0.00009691476,0.00002130342],"category_scores_gemma":[0.00001484943,0.00007709074,0.00001849306,0.00004962426,0.0001198633,0.00006331583,0.00001323919,0.00005060345,2.516045e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003630985,"about_ca_system_score_gemma":0.00000800821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002569444,"about_ca_topic_score_gemma":0.000003356671,"domain_scores_codex":[0.9993885,0.00004778584,0.000283188,0.000114328,0.00006317846,0.0001030549],"domain_scores_gemma":[0.9997938,0.0000603227,0.00002336354,0.00006104125,0.0000132615,0.00004827],"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":[0.00003765342,0.000004356817,0.01431369,0.0001253806,0.000007761725,2.589491e-7,0.000175822,0.00005512603,0.9832009,0.001664101,0.000002400828,0.0004125604],"study_design_scores_gemma":[0.0006308422,0.0001114202,0.171723,0.00001800738,0.00001130669,0.00000220135,0.00002025102,0.02074033,0.8034949,0.003161602,0.000001709689,0.00008448431],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993992,0.0001953536,0.00005598274,0.00005235934,0.0000697924,0.0001556047,0.00001492523,0.00002201018,0.00003481281],"genre_scores_gemma":[0.9995188,0.00002914049,0.0003834391,0.00002365926,0.00002456611,0.000005652779,0.00000847918,0.000005619955,6.657129e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.179706,"threshold_uncertainty_score":0.3143669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007350845565682185,"score_gpt":0.1891750932043474,"score_spread":0.1818242476386653,"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."}}