{"id":"W2085511858","doi":"10.1016/j.polymer.2009.12.041","title":"Flow induced orientation of multiwalled carbon nanotubes in polycarbonate nanocomposites: Rheology, conductivity and mechanical properties","year":2010,"lang":"en","type":"article","venue":"Polymer","topic":"Carbon Nanotubes in Composites","field":"Materials Science","cited_by":238,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada; Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Nanotube; Carbon nanotube; Percolation threshold; Raman spectroscopy; Composite material; Nanocomposite; Viscoelasticity; Percolation (cognitive psychology); Masterbatch; Rheology; Electrical resistivity and conductivity","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001187339,0.000185286,0.000094075,0.0002472039,0.0001407292,0.0002803139,0.0001031545,0.0002018311,0.0008938701],"category_scores_gemma":[0.00019618,0.0001259855,0.00008600278,0.0001303817,0.0002022378,0.0002433532,0.00005958368,0.000302251,0.0001067682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002187967,"about_ca_system_score_gemma":0.0001182482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005046798,"about_ca_topic_score_gemma":0.0008348417,"domain_scores_codex":[0.9999422,0.000009655969,0.000003254375,0.0000141115,0.0000172497,0.0000134847],"domain_scores_gemma":[0.9998847,0.0000382347,0.00003552064,0.000006659793,0.00001781694,0.00001704757],"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":[0.0001010298,0.00003183736,0.0002407436,0.00001757604,0.000002479507,0.00002697046,0.00001581262,0.0001810056,0.9981732,0.0001168106,0.00004426591,0.001048194],"study_design_scores_gemma":[0.000005919057,0.0000637911,0.002401999,0.000001680909,0.000003096457,0.00002269082,0.000009290305,0.001800858,0.99547,0.00002101328,0.0001956445,0.000003975539],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985477,0.0001955902,0.0005424002,0.00002498439,0.00001375233,0.000004405495,0.00004484388,0.0000174878,0.0006087344],"genre_scores_gemma":[0.9988065,0.00008006117,0.0003642637,0.0000103265,0.000006236957,0.000003686113,0.00005429111,0.000007041598,0.0006677841],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008938701,"threshold_uncertainty_score":0.002990246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01666823850290017,"score_gpt":0.2487477798605359,"score_spread":0.2320795413576357,"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."}}