{"id":"W1859444933","doi":"10.1039/c5ra12225b","title":"Enhanced figure of merit in Mg<sub>2</sub>Si<sub>0.877</sub>Ge<sub>0.1</sub>Bi<sub>0.023</sub>/multi wall carbon nanotube nanocomposites","year":2015,"lang":"en","type":"article","venue":"RSC Advances","topic":"Advanced Thermoelectric Materials and Devices","field":"Materials Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saskatoon Medical Imaging; University of Saskatchewan; Regional Municipality of Waterloo; McMaster University; University of Waterloo","funders":"AUTO21 Network of Centres of Excellence; Natural Sciences and Engineering Research Council of Canada; McMaster University","keywords":"Carbon nanotube; Materials science; Nanocomposite; Figure of merit; Thermal conductivity; Scattering; Nanotube; Carbon fibers; Nanotechnology; Physics; Optoelectronics; Optics; Composite material; Composite number","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":[0.00006146193,0.0002153622,0.0002076141,0.0001905668,0.0001461903,0.000312979,0.0001541758,0.0003537024,0.001622497],"category_scores_gemma":[0.0001158492,0.0001678892,0.0001058998,0.0001717655,0.0001122618,0.0001930813,0.0001046684,0.0001899152,0.0004186133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003098776,"about_ca_system_score_gemma":0.00009807443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001020831,"about_ca_topic_score_gemma":0.003614716,"domain_scores_codex":[0.9999473,0.00000403867,0.000002021188,0.00001376015,0.00002129006,0.00001152999],"domain_scores_gemma":[0.9999518,0.000008733281,0.00001151226,0.000002905576,0.00001457995,0.00001046733],"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":[0.00006013058,0.000003695939,0.0001040814,0.00001701382,0.000002663896,0.00002625077,0.00001147512,0.00008733641,0.9987364,0.00008507797,0.00006103877,0.0008048855],"study_design_scores_gemma":[0.00000915051,0.00008259009,0.00309947,0.000003335905,0.00001062391,0.00006519148,0.00001975947,0.002356721,0.9929364,0.00004876841,0.001363658,0.000004252332],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953211,0.0006151841,0.0007637946,0.00006755919,0.00002374678,0.000003519684,0.0001086522,0.0000931469,0.003003304],"genre_scores_gemma":[0.9969437,0.0001312551,0.0008267443,0.0000188915,0.000003927623,0.000004291234,0.00008267442,0.00002112816,0.001967466],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001622497,"threshold_uncertainty_score":0.005427778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01294653378042512,"score_gpt":0.2486634751636138,"score_spread":0.2357169413831887,"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."}}