{"id":"W2527643462","doi":"10.11159/iccpe16.1","title":"Production of Carbon Nanofilaments from Waste Streams and Their Use as Polymers Additives","year":2016,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Mechanical, Chemical, and Material Engineering","topic":"Graphene and Nanomaterials Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"STREAMS; Carbon fibers; Polymer; Production (economics); Waste management; Computer science; Process engineering; Materials science; Chemistry; Organic chemistry; Engineering; Composite material; Operating system","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005529558,0.0002047718,0.0002785492,0.00007718192,0.00002651697,0.00003796682,0.0001507087,0.00007009073,0.00001792517],"category_scores_gemma":[0.00004796686,0.0001303573,0.00004200393,0.0001180115,0.00007211196,0.0001362777,0.00009296844,0.00004872041,2.626061e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001699745,"about_ca_system_score_gemma":0.000003987268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002522666,"about_ca_topic_score_gemma":0.000001078422,"domain_scores_codex":[0.9992123,0.00000289486,0.0002772417,0.0002339692,0.0001013309,0.0001722669],"domain_scores_gemma":[0.9996086,0.00005604532,0.00009737335,0.0001254595,0.00004662189,0.00006586676],"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":[0.00005433482,0.00001690314,0.00001977425,0.0001001808,0.00005702811,4.591391e-8,0.00001383427,0.000004441988,0.9980403,0.0008984942,0.00006496079,0.0007296602],"study_design_scores_gemma":[0.000256981,0.00002511123,0.00003165276,0.0004964328,0.00003052763,0.00000154666,0.00004760067,0.0001730971,0.9982287,0.0003033452,0.0002538907,0.0001511558],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987929,0.00001986134,6.213888e-7,0.00006471765,0.0006769418,0.0002009378,0.0001068283,0.00008906978,0.00004813925],"genre_scores_gemma":[0.9992756,0.0002137133,0.0002373415,0.000005511735,0.0001199618,0.00004750122,0.000003401737,0.00003479996,0.00006215706],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005951489,"threshold_uncertainty_score":0.5315818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00537032819995409,"score_gpt":0.1744926183441297,"score_spread":0.1691222901441756,"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."}}