{"id":"W2773878635","doi":"10.1016/j.carbon.2017.12.045","title":"Aligned carbon nanotube webs embedded in a composite laminate: A route towards a highly tunable electro-thermal system","year":2017,"lang":"en","type":"article","venue":"Carbon","topic":"Icing and De-icing Technologies","field":"Engineering","cited_by":75,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council; European Commission; Royal Academy of Engineering; Bombardier","keywords":"Materials science; Composite material; Carbon nanotube; Composite number; Electrical conductor; Thermal conductivity; Volume fraction; Curing (chemistry); Chemical vapor deposition; Thermal; Electrical resistivity and conductivity; Perpendicular; Nanotechnology","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":[0.00007661014,0.0002519959,0.00009663817,0.0002220852,0.0002293986,0.0002762893,0.0001847803,0.0003653923,0.0007110277],"category_scores_gemma":[0.00009669191,0.0001398578,0.0001116757,0.0001250213,0.000166799,0.0002677295,0.0001608629,0.0003624164,0.000292332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001482832,"about_ca_system_score_gemma":0.0001071765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000120954,"about_ca_topic_score_gemma":0.0004080439,"domain_scores_codex":[0.999951,0.000005963327,0.000003353224,0.00001429813,0.0000166912,0.000008736555],"domain_scores_gemma":[0.9999367,0.000009151127,0.00002162069,0.000009301302,0.00001081707,0.00001238273],"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":[0.00001363641,0.00001503828,0.0000459234,0.00002399597,0.000003099251,0.00006368972,0.00001220592,0.0002039974,0.9978243,0.0004476164,0.0000670851,0.001279377],"study_design_scores_gemma":[0.000004205358,0.00008194933,0.0003751225,0.000003984386,0.000006269264,0.00006791079,0.00001071314,0.002131284,0.9951416,0.00007552673,0.002095716,0.000005779787],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9760107,0.0007516867,0.01518865,0.0001998681,0.0001239511,0.00002983206,0.0000998333,0.0002768354,0.007318774],"genre_scores_gemma":[0.986569,0.0003573622,0.009720547,0.00004771377,0.00002200503,0.0000237524,0.00004598055,0.00003347996,0.003180157],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007110277,"threshold_uncertainty_score":0.002378583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007112842044178592,"score_gpt":0.2073984538093913,"score_spread":0.2002856117652127,"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."}}