{"id":"W2949708987","doi":"10.1039/c9cp03305j","title":"Enhancing absorption dominated microwave shielding in Co@C–PVDF nanocomposites through improved magnetization and graphitization of the Co@C-nanoparticles","year":2019,"lang":"en","type":"article","venue":"Physical Chemistry Chemical Physics","topic":"Electromagnetic wave absorption materials","field":"Materials Science","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"Calgary Laboratory Services; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Council of Scientific and Industrial Research, India","keywords":"Nanocomposite; Microwave; Electromagnetic shielding; Nanoparticle; Materials science; Magnetization; Absorption (acoustics); Chemical engineering; Magnetic nanoparticles; Nanotechnology; Composite material; Magnetic field; Physics","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":[0.0001322102,0.0002143864,0.0003374638,0.00001120514,0.00004568096,0.00005643741,0.000218862,0.0001036889,0.00007165664],"category_scores_gemma":[0.00005643794,0.0001843734,0.00007417894,0.00028599,0.0002226155,0.0002367318,0.00009244265,0.0001435672,0.00001739573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005881018,"about_ca_system_score_gemma":0.00002815702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002038535,"about_ca_topic_score_gemma":6.661991e-7,"domain_scores_codex":[0.9985939,0.00006137304,0.00039917,0.0004032698,0.0002432167,0.0002990894],"domain_scores_gemma":[0.9991724,0.0001445588,0.0002654141,0.0002875343,0.00008417099,0.00004593863],"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":[0.00005506414,0.0001509376,0.00028481,0.0002449464,0.000004577675,1.822576e-7,0.0003142886,0.0000420215,0.9985206,0.00027472,0.000006066169,0.0001018276],"study_design_scores_gemma":[0.0006485608,0.00003521827,0.0004828363,0.0001028251,0.00002077346,0.000002411145,0.00003889815,0.0009476428,0.9892938,0.008219562,0.00000333141,0.0002041105],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987962,0.00003050792,0.0001939806,0.00005688365,0.00003954309,0.0003196248,0.00001956197,0.00004189916,0.0005018328],"genre_scores_gemma":[0.9992617,0.000008620725,0.000443956,0.00003828836,0.0001217147,0.00002081888,0.00005116161,0.00002426437,0.00002941408],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009226729,"threshold_uncertainty_score":0.751853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006069319488350031,"score_gpt":0.2299003103610883,"score_spread":0.2238309908727382,"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."}}