{"id":"W2963535260","doi":"10.1002/app.48258","title":"Influence of graphene‐based compounds on the mechanical toughness and thermal stability of polypropylene","year":2019,"lang":"en","type":"article","venue":"Journal of Applied Polymer Science","topic":"Polymer Nanocomposites and Properties","field":"Materials Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Materials science; Graphene; Crystallinity; Polypropylene; Thermogravimetric analysis; Ultimate tensile strength; Thermal stability; Nanocomposite; Composite material; Differential scanning calorimetry; Toughness; Oxide; Tensile testing; Chemical engineering; Nanotechnology","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":[0.0001713335,0.0003527865,0.000149069,0.0002591286,0.000114417,0.0002375458,0.0001252151,0.0001982309,0.001006747],"category_scores_gemma":[0.0004358266,0.0001610248,0.00013534,0.0001637909,0.0001496321,0.0002338788,0.0001167014,0.00028265,0.0001501512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001433857,"about_ca_system_score_gemma":0.00009326361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004460359,"about_ca_topic_score_gemma":0.0007717469,"domain_scores_codex":[0.9998498,0.00002696929,0.00001183123,0.00003647981,0.00004879649,0.00002623096],"domain_scores_gemma":[0.9997678,0.00009858111,0.00005570476,0.00001361717,0.00002752409,0.00003673845],"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":[0.0001082916,0.00001253464,0.00007694362,0.00003449724,0.000006615629,0.00002685354,0.000007935983,0.0001598309,0.9987565,0.00001693906,0.000008094467,0.0007848339],"study_design_scores_gemma":[0.000004757968,0.000195052,0.001290857,0.000003896183,0.00001150213,0.00002723843,0.000006659067,0.0005166058,0.9976432,0.000006709701,0.0002899816,0.000003495858],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978082,0.0009377714,0.0004719446,0.00001917403,0.00001259135,0.000009032812,0.00008452826,0.00001573876,0.0006411411],"genre_scores_gemma":[0.9986535,0.0002638745,0.0006611491,0.00001129497,0.000003328267,0.000006518257,0.00005930949,0.00000825988,0.0003325973],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001006747,"threshold_uncertainty_score":0.003367901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01249335721261819,"score_gpt":0.2228230548196136,"score_spread":0.2103296976069955,"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."}}