{"id":"W2256493273","doi":"10.1021/acssuschemeng.5b01772","title":"Green Biocomposites from Nanoengineered Hybrid Natural Fiber and Biopolymer","year":2016,"lang":"en","type":"article","venue":"ACS Sustainable Chemistry & Engineering","topic":"Dyeing and Modifying Textile Fibers","field":"Engineering","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Biocomposite; Fiber; Fourier transform infrared spectroscopy; Chemical engineering; Exfoliation joint; Scanning electron microscope; Composite material; Thermal stability; Composite number; Nanotechnology; Graphene","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001094845,0.0003930023,0.0001611141,0.000234766,0.00008369845,0.000188446,0.0001244233,0.0002437589,0.0004497399],"category_scores_gemma":[0.00009533433,0.0001612336,0.0002207017,0.0001346123,0.0001609189,0.0002620456,0.0001594484,0.0002293142,0.0001844913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002387144,"about_ca_system_score_gemma":0.0001154688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003637225,"about_ca_topic_score_gemma":0.001549244,"domain_scores_codex":[0.9999355,0.000005275924,0.000005455435,0.00001682285,0.00002349037,0.00001347431],"domain_scores_gemma":[0.9999118,0.00001166006,0.00003200763,0.00001081603,0.00001484959,0.00001872953],"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":[0.000009956704,0.000004974383,0.00003401125,0.00001750164,0.000001941296,0.00002639295,0.000006745009,0.00006113163,0.9991536,0.0000360308,0.000006521309,0.0006412138],"study_design_scores_gemma":[0.000001858307,0.00006929035,0.0006810245,0.000002426392,0.000004927158,0.00005875383,0.000004918445,0.0003035809,0.9982039,0.00001472376,0.0006522129,0.000002452808],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916192,0.0008137687,0.006017905,0.00002489204,0.00002228654,0.00002356126,0.0001116233,0.000099321,0.001267274],"genre_scores_gemma":[0.9868859,0.0007067481,0.009099234,0.00003819522,0.000007832378,0.00002930524,0.0001863757,0.00003942931,0.003007061],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004497399,"threshold_uncertainty_score":0.001731992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002410045555035665,"score_gpt":0.1573725184615987,"score_spread":0.154962472906563,"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."}}