{"id":"W2937243479","doi":"10.1039/c9ta02306b","title":"High performance broadband acoustic absorption and sound sensing of a bubbled graphene monolith","year":2019,"lang":"en","type":"article","venue":"Journal of Materials Chemistry A","topic":"Acoustic Wave Phenomena Research","field":"Engineering","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Monolith; Graphene; Materials science; Broadband; Attenuation coefficient; Absorption (acoustics); Noise reduction coefficient; Range (aeronautics); Acoustics; Composite material; Nanotechnology; Porosity; Chemistry; Telecommunications; Optics; Computer science; Catalysis; Physics","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":[],"consensus_categories":[],"category_scores_codex":[0.0003536952,0.0001209806,0.0003341908,0.00005125758,0.00001811246,0.00004034181,0.00009414199,0.00007463879,0.0002140278],"category_scores_gemma":[0.00003239841,0.0001078047,0.00002774923,0.00006901567,0.00003977883,0.0001322378,0.00003096295,0.000129444,0.000004360572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005887016,"about_ca_system_score_gemma":0.00002287263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003777679,"about_ca_topic_score_gemma":7.64993e-8,"domain_scores_codex":[0.9990653,0.00001390657,0.0004265358,0.00008041886,0.0002304095,0.0001834104],"domain_scores_gemma":[0.9994397,0.00004779136,0.0001836358,0.0001328748,0.0001241552,0.00007182249],"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":[0.0001087991,0.00001071047,0.000113742,0.001253114,0.00006084519,0.000005837814,0.00007895114,0.0160466,0.9821447,8.314228e-7,0.00003278758,0.000143147],"study_design_scores_gemma":[0.0007882318,0.00005572579,0.001618815,0.0001936784,0.00003827624,0.0002068892,0.00007837405,0.00677608,0.9898655,0.0002609789,0.000005040425,0.0001124059],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985151,0.0001457074,0.0008737302,0.000008839324,0.0001930933,0.00006446018,0.00001175213,0.00001428854,0.0001730367],"genre_scores_gemma":[0.9987659,0.0001554284,0.0008038632,0.000002445937,0.0001896978,4.717491e-7,0.000002119287,0.00002271143,0.00005732098],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009270522,"threshold_uncertainty_score":0.4396149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00831871457902612,"score_gpt":0.2105282207758644,"score_spread":0.2022095061968383,"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."}}