{"id":"W4401396761","doi":"10.1002/smll.202404189","title":"Highly Anisotropic Thermally Conductive Dielectric Polymer/Boron Nitride Nanotube Composites for Directional Heat Dissipation","year":2024,"lang":"en","type":"article","venue":"Small","topic":"Thermal properties of materials","field":"Materials Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; University of Alberta; University of Toronto","funders":"Air Force Office of Scientific Research; Natural Sciences and Engineering Research Council of Canada; Ministry of Trade, Industry and Energy","keywords":"Materials science; Boron nitride; Composite material; Dielectric; Electrical conductor; Dissipation; Nanotube; Anisotropy; Thermal management of electronic devices and systems; Boron; Polymer; Carbon nanotube; Optoelectronics","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":[0.0002560719,0.0002218168,0.00024695,0.00009009844,0.0002157168,0.0002988782,0.0002510058,0.00009285139,0.0008854476],"category_scores_gemma":[0.00005225374,0.0001756281,0.00009800089,0.00009075176,0.00008958936,0.0003455697,0.00006650986,0.00007626157,0.0005106887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000138113,"about_ca_system_score_gemma":0.0001032814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003751329,"about_ca_topic_score_gemma":0.00002617991,"domain_scores_codex":[0.9985557,0.000119941,0.0003050779,0.0004433408,0.000193293,0.0003826968],"domain_scores_gemma":[0.9993669,0.0002069631,0.00005051301,0.0002021808,0.00009914393,0.00007428833],"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":[0.0002828557,0.00004821783,0.00004635011,0.0000945331,0.00002991161,0.00000430507,0.0002261262,0.00006369636,0.9947988,0.002823947,0.0002413978,0.001339901],"study_design_scores_gemma":[0.000302388,0.0002698271,0.000992453,0.00006190219,0.00004781838,0.000013138,0.00003546422,0.0003783186,0.9942976,0.0003377213,0.003016376,0.0002470095],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913752,0.002867263,0.0006139221,0.0007512484,0.002082889,0.000517542,0.0001720519,0.0004115436,0.001208322],"genre_scores_gemma":[0.9965726,0.0000240852,0.001070082,0.0001594732,0.0004850154,0.0001576484,0.0000525158,0.0000520115,0.001426546],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005197403,"threshold_uncertainty_score":0.969503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02147019108848757,"score_gpt":0.2446719041637908,"score_spread":0.2232017130753032,"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."}}