{"id":"W4300464724","doi":"","title":"Enhanced figure of merit in Mg 2 Si 0.877 Ge 0.1 Bi 0.023 /multi wall carbon nanotube nanocomposites","year":2015,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Boron and Carbon Nanomaterials Research","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; McMaster University; Brockhouse Institute for Materials Research","funders":"","keywords":"Nanocomposite; Carbon nanotube; Materials science; Figure of merit; Nanotube; Nanotechnology; Carbon fibers; Composite material; Optoelectronics; Composite number","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.008427858,0.0005155865,0.0009462104,0.0003815588,0.0001354678,0.0003858498,0.002297281,0.0005872882,0.0006092961],"category_scores_gemma":[0.001274925,0.0005217966,0.0002201725,0.0005289202,0.0004528954,0.0001577607,0.002178904,0.0005920549,0.00008746447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002939118,"about_ca_system_score_gemma":0.0007612133,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009818491,"about_ca_topic_score_gemma":0.005198288,"domain_scores_codex":[0.9891748,0.006844312,0.001147943,0.001153895,0.0009542975,0.0007247057],"domain_scores_gemma":[0.9932469,0.0007423847,0.0007629611,0.00249551,0.002447743,0.000304467],"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":[0.00006087378,0.0005672481,0.0005768751,0.0003359452,0.00002284519,0.00000766328,0.004590329,0.00006093359,0.9905151,0.001291117,0.0001880806,0.001783037],"study_design_scores_gemma":[0.00104666,0.00000179082,0.001542832,0.001685676,0.00002413902,0.000003279344,0.0001070297,0.006299483,0.9867136,0.0004869504,0.001589024,0.0004995332],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9737012,0.001766331,0.0009749606,0.001979119,0.0005212411,0.0009090476,0.0001711608,0.0001967501,0.01978017],"genre_scores_gemma":[0.9859753,0.0005536472,0.007802055,0.00005017515,0.0000314953,0.000185168,0.0003408445,0.0000761851,0.004985185],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01479498,"threshold_uncertainty_score":0.9997234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02187934149473427,"score_gpt":0.264278847228286,"score_spread":0.2423995057335518,"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."}}