{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001577891,0.0001075596,0.0003197585,0.0001311889,0.0002109119,0.00007938495,0.0002380268,0.00002914805,0.00160523],"category_scores_gemma":[0.00004029198,0.00008816435,0.0000695593,0.0001381346,0.0001460192,0.0001894398,0.0001134303,0.00008307058,0.000004196404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003683506,"about_ca_system_score_gemma":0.0001337736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001146888,"about_ca_topic_score_gemma":0.00001245558,"domain_scores_codex":[0.9981813,0.0003415533,0.0006605631,0.0001570418,0.0004507662,0.0002087335],"domain_scores_gemma":[0.9988428,0.00006412654,0.0006281189,0.0001872276,0.0001874598,0.00009031659],"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":[0.0002054479,0.0001270664,0.0001392326,0.00003000769,0.00001822984,0.000005248983,0.0002044062,0.00002530885,0.9982705,0.0006164297,0.0001337949,0.0002243477],"study_design_scores_gemma":[0.0003496833,0.0002502503,0.002273261,0.000009714233,0.00002183418,0.000112146,0.0002805268,0.000001963436,0.9949452,0.001586548,0.00008594639,0.00008296742],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977974,0.0009146989,0.0003314723,0.0003467228,0.0002384977,0.0001708341,0.000145216,0.000009526235,0.00004557458],"genre_scores_gemma":[0.998885,0.00009711337,0.0008068118,0.00003831099,0.0001027545,0.00002774835,0.000006152317,0.00001116877,0.00002494438],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00332532,"threshold_uncertainty_score":0.9993075,"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."}}