{"id":"W4221125687","doi":"10.1016/j.jhazmat.2022.128792","title":"Graphene oxide enhances thermal stability and microwave absorption/regeneration of a porous polymer","year":2022,"lang":"en","type":"article","venue":"Journal of Hazardous Materials","topic":"Graphene research and applications","field":"Materials Science","cited_by":37,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; University of Alberta","keywords":"Materials science; Polymer; Nanocomposite; Desorption; Thermal stability; Chemical engineering; Adsorption; Graphene; Polymer nanocomposite; Oxide; Dielectric loss; Specific surface area; Dielectric; Composite material; Chemistry; Organic chemistry; Nanotechnology; Catalysis","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":[0.00009501976,0.0001650702,0.00008275749,0.0001935251,0.0001222278,0.0001713691,0.0001670759,0.000185392,0.001161763],"category_scores_gemma":[0.0001572273,0.0001102777,0.0001756652,0.0001123837,0.0001331981,0.0002256221,0.0001564344,0.0002757606,0.0001663107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009989049,"about_ca_system_score_gemma":0.000104893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000368711,"about_ca_topic_score_gemma":0.0006023277,"domain_scores_codex":[0.9999346,0.000004984841,0.000002799952,0.00001383816,0.00001792633,0.00002603286],"domain_scores_gemma":[0.9999267,0.00002344187,0.00001933481,0.000007694195,0.000008808273,0.00001408791],"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":[0.00009283007,0.00001345386,0.00006469474,0.00001822677,0.000002972591,0.00002636265,0.00001157312,0.000101973,0.9985244,0.000075974,0.00002460195,0.00104299],"study_design_scores_gemma":[0.000002551827,0.00006113618,0.0005174383,0.000001053856,0.000004747324,0.00002285922,0.000003663071,0.000556334,0.99857,0.00001076797,0.0002474543,0.000002120931],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974014,0.0002637715,0.001074441,0.00002628182,0.00001139185,0.000004382479,0.00003807944,0.00004453318,0.001135719],"genre_scores_gemma":[0.9987376,0.00008707496,0.0003892423,0.000008044639,0.000002936432,0.000002020229,0.00002622758,0.000009041813,0.0007377451],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001161763,"threshold_uncertainty_score":0.003886461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01799106629768961,"score_gpt":0.2562071448251406,"score_spread":0.238216078527451,"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."}}