{"id":"W2942432900","doi":"10.1155/2019/5284160","title":"Preparation of Graphene Nanoplatelets by Thermal Shock Combined with Ball Milling Methods for Fabricating Flame-Retardant Polymers","year":2019,"lang":"en","type":"article","venue":"Journal of Chemistry","topic":"Flame retardant materials and properties","field":"Materials Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Partenariat Canadien Contre Le Cancer; Vietnam Academy of Science and Technology","keywords":"Limiting oxygen index; Graphene; Graphite; Fire retardant; Ball mill; Exfoliated graphite nano-platelets; Fourier transform infrared spectroscopy; Composite material; Chemistry; Polymer; Chemical engineering; Materials science; Nanotechnology; Combustion; Organic chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001502245,0.0004235505,0.0001824941,0.0005680935,0.0001781289,0.0001641097,0.000273817,0.0004000701,0.0008525837],"category_scores_gemma":[0.0001644946,0.0002411939,0.0004173114,0.0002844699,0.0001631735,0.0002703046,0.0002418043,0.0005275104,0.0003390394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001669252,"about_ca_system_score_gemma":0.0001171334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000199495,"about_ca_topic_score_gemma":0.0006478587,"domain_scores_codex":[0.9998239,0.00001788586,0.00001561955,0.00003121608,0.00008572742,0.00002576797],"domain_scores_gemma":[0.9998896,0.0000212351,0.00003557855,0.00001849408,0.0000190708,0.00001599907],"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":[0.00001242551,0.00000781872,0.00002771774,0.00003795223,0.000003167613,0.00003248812,0.000008795578,0.00008933881,0.9982913,0.0000758043,0.00002047602,0.001392637],"study_design_scores_gemma":[0.000003449262,0.00008556849,0.0004606544,0.000002334711,0.000004536456,0.00008683175,0.000005169149,0.000715341,0.9979322,0.00003555061,0.0006635679,0.000004725778],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9333697,0.00189261,0.05989663,0.0001363071,0.00008911882,0.0002417446,0.0007363629,0.0004465197,0.003190865],"genre_scores_gemma":[0.9418016,0.0009725842,0.0546257,0.00005029949,0.0000144078,0.0001309294,0.0005103491,0.00004715,0.001847024],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008525837,"threshold_uncertainty_score":0.002852201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00909334902676599,"score_gpt":0.274305596353299,"score_spread":0.265212247326533,"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."}}