{"id":"W4399157008","doi":"10.1061/jmcee7.mteng-18126","title":"Nanoengineered Geopolymer Composites with Biomass-Based 2D Graphitic Carbon Nanoplatelets","year":2024,"lang":"en","type":"article","venue":"Journal of Materials in Civil Engineering","topic":"Graphene research and applications","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Nuclear Laboratories","funders":"","keywords":"Geopolymer; Materials science; Composite material; Carbon fibers; Exfoliated graphite nano-platelets; Biomass (ecology); Composite number; Fly ash","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006279295,0.000308019,0.0001415205,0.0002564447,0.0000901192,0.000189094,0.0001773886,0.0003863497,0.0006069303],"category_scores_gemma":[0.0000937772,0.0001471378,0.0002033263,0.0001429995,0.0001211225,0.0003025139,0.0001584599,0.0003467404,0.0002469363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001993212,"about_ca_system_score_gemma":0.0001206916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003624197,"about_ca_topic_score_gemma":0.001872968,"domain_scores_codex":[0.9999394,0.000004411102,0.000003767456,0.00001592145,0.00002343023,0.00001297187],"domain_scores_gemma":[0.9999487,0.000009411182,0.00001684709,0.000004586967,0.00001142018,0.000009046744],"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":[0.00000995007,0.00001058746,0.00004754846,0.00003997828,0.000002998139,0.00002965716,0.00000599739,0.0002243309,0.9981184,0.0000835121,0.00001680156,0.001410332],"study_design_scores_gemma":[0.000002843972,0.00006964141,0.0005297566,0.000003189244,0.00000660869,0.00004657652,0.000007334825,0.001616567,0.9964538,0.00002625955,0.001232923,0.000004483295],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9856762,0.001885914,0.00975302,0.00005650935,0.00006240269,0.00002484154,0.0001125978,0.000162068,0.002266447],"genre_scores_gemma":[0.9905279,0.0006284011,0.007122763,0.00003616849,0.0000103377,0.0000192979,0.00009304471,0.00002352732,0.001538526],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006069303,"threshold_uncertainty_score":0.002030373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006910613048588808,"score_gpt":0.2259817678499762,"score_spread":0.2190711548013874,"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."}}