{"id":"W2514384951","doi":"10.1039/c6cp04600b","title":"In situ growth of MoS<sub>2</sub> nanosheets on reduced graphene oxide (RGO) surfaces: interfacial enhancement of absorbing performance against electromagnetic pollution","year":2016,"lang":"en","type":"article","venue":"Physical Chemistry Chemical Physics","topic":"Electromagnetic wave absorption materials","field":"Materials Science","cited_by":98,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Graphene; Oxide; In situ; Materials science; Nanotechnology; Graphene oxide paper; Chemical engineering; Metallurgy; Chemistry","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":[0.0001971376,0.000398929,0.0006863337,0.00003644693,0.00003516351,0.00001383231,0.0004593939,0.0001378252,0.00004435682],"category_scores_gemma":[0.0001306415,0.0003364978,0.0001676969,0.0003722137,0.000381495,0.0002471314,0.000136652,0.0001820562,0.00004383826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002220058,"about_ca_system_score_gemma":0.00008726891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008742177,"about_ca_topic_score_gemma":2.628375e-7,"domain_scores_codex":[0.9973028,0.00006563673,0.0007534791,0.0006376904,0.0006104222,0.0006300292],"domain_scores_gemma":[0.9986429,0.0001423309,0.0004692408,0.0004527041,0.0001654998,0.0001273333],"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":[0.0003435597,0.0007351241,0.00000942303,0.0003169073,0.00001428193,0.000001265449,0.0001031157,0.0000283814,0.9978799,0.000119722,0.00004703375,0.0004012699],"study_design_scores_gemma":[0.0009839844,0.0003007789,0.0001448099,0.0003801369,0.00002509022,0.000001297756,0.000006110378,0.00007343437,0.9941563,0.003562319,9.792507e-7,0.0003647465],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989679,0.00001712435,0.00005079557,0.0001039539,0.00007030073,0.0002168311,0.000036209,0.00004715308,0.0004897378],"genre_scores_gemma":[0.9993955,0.00005196024,0.0001750359,0.00004433548,0.0002192883,0.0000409612,0.00001868054,0.00003887486,0.00001539865],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003723603,"threshold_uncertainty_score":0.9999087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008246532786987377,"score_gpt":0.2165411391693512,"score_spread":0.2082946063823638,"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."}}