{"id":"W2558170520","doi":"10.1016/j.carbon.2016.12.006","title":"High thermal conductivities of carbon nanotube films and micro-fibres and their dependence on morphology","year":2016,"lang":"en","type":"article","venue":"Carbon","topic":"Carbon Nanotubes in Composites","field":"Materials Science","cited_by":160,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"Office of Naval Research Global; Institute of Materials Research and Engineering; Natural Sciences and Engineering Research Council of Canada; Dalhousie University; Engineering and Physical Sciences Research Council; Office of Naval Research; Canada Foundation for Innovation","keywords":"Thermal conductivity; Carbon nanotube; Materials science; Composite material; Evaporation; Thermal; Morphology (biology); Thermal conductivity measurement; Nanotechnology; Thermodynamics","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":[0.0002351095,0.0002239336,0.0003645852,0.00009575503,0.00004259669,0.00002704174,0.0002033627,0.0001281298,0.00005575827],"category_scores_gemma":[0.00008454483,0.0001421837,0.0000341977,0.00006320571,0.0005859288,0.00007731206,0.0002154253,0.00007544984,0.000001909944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002646363,"about_ca_system_score_gemma":0.00003492069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004460848,"about_ca_topic_score_gemma":0.00001567575,"domain_scores_codex":[0.9987508,0.0001294695,0.000238033,0.0004382301,0.0001505859,0.0002928631],"domain_scores_gemma":[0.9987974,0.0005727541,0.0001240754,0.0003902955,0.00004828431,0.00006724757],"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":[0.0001169148,0.0000214201,0.00306409,0.00002424836,0.00001048847,0.000009867597,0.0003417014,0.000004302964,0.9952042,0.0006269558,0.00002099385,0.0005548392],"study_design_scores_gemma":[0.0005353926,0.0002898234,0.002554415,0.00009964186,0.00001375731,0.00005413437,0.00009780474,0.00003264808,0.9954396,0.0006676763,0.00002339075,0.000191643],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968199,0.001098199,0.000002730414,0.0002195799,0.0006309851,0.0001563213,0.00004293019,0.00005521754,0.0009741673],"genre_scores_gemma":[0.9993209,0.00008018813,0.0002982139,0.00007260095,0.00008203496,0.00001526894,7.613359e-7,0.00002370109,0.0001063374],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002501024,"threshold_uncertainty_score":0.5798085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01214645618849982,"score_gpt":0.2172059358754862,"score_spread":0.2050594796869864,"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."}}