{"id":"W4247355802","doi":"10.17771/pucrio.acad.54659","title":"RHEOLOGY OF FUNCTIONALIZED GRAPHENE SUSPENSIONS IN A MODEL YIELD STRESS FLUID","year":2021,"lang":"en","type":"dissertation","venue":"","topic":"Carbon Nanotubes in Composites","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Pontifícia Universidade Católica do Rio de Janeiro; Gambling Research Exchange Ontario; Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Rheology; Graphene; Materials science; Yield (engineering); Polymer science; Chemical engineering; Nanotechnology; Composite material; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001915953,0.0003528138,0.0002067788,0.0003226305,0.0002901642,0.0003469716,0.0002209571,0.0004198708,0.00149253],"category_scores_gemma":[0.0003528799,0.0001141689,0.0002427642,0.0002365624,0.0002221292,0.000422549,0.0001443827,0.0004074133,0.0002682809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002081259,"about_ca_system_score_gemma":0.0001766269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009689282,"about_ca_topic_score_gemma":0.0009353123,"domain_scores_codex":[0.9998889,0.00001548401,0.000007562221,0.00002665016,0.00004400696,0.00001746927],"domain_scores_gemma":[0.9998963,0.00003019495,0.00002334427,0.000007637188,0.00002884755,0.00001364359],"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":[0.0001043715,0.00002092415,0.0003186332,0.00005015365,0.000007001596,0.00006659282,0.0000758778,0.0003218252,0.996338,0.00007171933,0.00006408103,0.002560747],"study_design_scores_gemma":[0.000008755605,0.0004740751,0.004310577,0.00001886367,0.0000198162,0.00008446543,0.00009472489,0.004039218,0.9885688,0.00005955083,0.002302764,0.00001844097],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922327,0.001210549,0.003780706,0.00008964971,0.00007358037,0.00004113927,0.0002724595,0.0000923764,0.002206758],"genre_scores_gemma":[0.9920098,0.0009440268,0.002947019,0.00005161936,0.00002229693,0.00003097849,0.0003598492,0.00003119759,0.003603271],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00149253,"threshold_uncertainty_score":0.004993021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02021484087362996,"score_gpt":0.2718881394092613,"score_spread":0.2516732985356314,"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."}}