{"id":"W2037314511","doi":"10.1063/1.4866438","title":"Multifunctional polymer nanocomposites with uniaxially aligned liquid crystal polymer fibrils and graphene nanoplatelets","year":2014,"lang":"en","type":"article","venue":"Applied Physics Letters","topic":"Thermal properties of materials","field":"Materials Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; York University","funders":"","keywords":"Nanocomposite; Materials science; Polymer; Polymer nanocomposite; Composite material; Graphene; Conductive polymer; Heat deflection temperature; Nanotechnology; Ultimate tensile strength","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":[0.0001048764,0.0003879461,0.000147442,0.0003376796,0.0001240066,0.0002212687,0.0001819439,0.0002716771,0.0004668864],"category_scores_gemma":[0.0001703824,0.0001912408,0.0001846164,0.0001844447,0.0001586516,0.0003382518,0.0001936117,0.0003441809,0.0001561958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001892565,"about_ca_system_score_gemma":0.00009720917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002492943,"about_ca_topic_score_gemma":0.001022243,"domain_scores_codex":[0.9999112,0.000008243211,0.000007029515,0.00003174468,0.00002526036,0.00001649951],"domain_scores_gemma":[0.9998598,0.00002941581,0.00004686131,0.00001140663,0.00002575752,0.00002675359],"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":[0.00002170582,0.00001324561,0.00005230777,0.00002540155,0.000003108488,0.00003388099,0.000005221002,0.0001025731,0.9987872,0.0000598671,0.00001809169,0.0008774845],"study_design_scores_gemma":[0.000008430847,0.0001333041,0.0008561802,0.000002551278,0.000009983351,0.00006996944,0.000005921544,0.002038933,0.9963101,0.00002996904,0.0005308755,0.000003887749],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894058,0.0009764888,0.007130793,0.00005773397,0.00004328613,0.00003043536,0.0001044894,0.0002162759,0.002034649],"genre_scores_gemma":[0.992442,0.0003071395,0.005985892,0.00002943472,0.00001486935,0.00002768038,0.0000865543,0.00002449228,0.001081923],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004668864,"threshold_uncertainty_score":0.00156188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006406337632004112,"score_gpt":0.1812266251013028,"score_spread":0.1748202874692987,"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."}}