{"id":"W4378574478","doi":"10.1002/pc.27460","title":"Microwave heating of graphene nanoplatelet polymer composites: Experimental and finite element study","year":2023,"lang":"en","type":"article","venue":"Polymer Composites","topic":"Microwave-Assisted Synthesis and Applications","field":"Chemistry","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Composite material; Nanocomposite; Microwave; Joule heating; Graphene; Thermal conductivity; Compression molding; Fabrication; Composite number; Dielectric; Finite element method","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001189566,0.0003079648,0.0004183092,0.0001294095,0.000305687,0.00007363185,0.0002610259,0.00007845242,0.0004656029],"category_scores_gemma":[0.000006328984,0.0003046812,0.0001277062,0.000357806,0.000126723,0.00006853011,0.0002461829,0.0001361339,0.00003668122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002538319,"about_ca_system_score_gemma":0.0000185658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002506368,"about_ca_topic_score_gemma":0.00001722616,"domain_scores_codex":[0.9982275,0.0000488791,0.0005856904,0.0004841327,0.000267103,0.0003866478],"domain_scores_gemma":[0.9988161,0.0003425413,0.0002148334,0.0004592518,0.00003851427,0.0001287717],"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":[0.00003606379,0.0006660748,0.02629491,0.00005750964,0.0002017094,0.000007579757,0.00153357,0.000004722831,0.9694139,0.0002568353,0.0002250818,0.001302092],"study_design_scores_gemma":[0.0007382335,0.00008189409,0.001401262,0.00008825301,0.00007776537,0.00001122292,0.00281089,0.0005942936,0.9937395,0.00001772111,0.0001360239,0.0003028782],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991876,0.005316063,0.00006421523,0.0001214791,0.00003495816,0.000205541,0.0001081642,0.0001468746,0.002126706],"genre_scores_gemma":[0.9985691,0.00002492899,0.0003273792,0.00007022726,0.00005772975,0.0001096096,0.0001253739,0.0000490316,0.0006666391],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02489365,"threshold_uncertainty_score":0.9999405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01886736007966543,"score_gpt":0.2600030034417063,"score_spread":0.2411356433620409,"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."}}