{"id":"W2783037485","doi":"10.1021/acssuschemeng.7b03380","title":"In-Situ Nanoreinforced Green Bionanomaterials from Natural Keratin and Montmorillonite (MMT)/Cellulose Nanocrystals (CNC)","year":2018,"lang":"en","type":"article","venue":"ACS Sustainable Chemistry & Engineering","topic":"Dyeing and Modifying Textile Fibers","field":"Engineering","cited_by":84,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Livestock and Meat Agency; Canadian Poultry Research Council","keywords":"Materials science; Differential scanning calorimetry; Biopolymer; Thermogravimetric analysis; Montmorillonite; Nanocomposite; Chemical engineering; Fourier transform infrared spectroscopy; X-ray photoelectron spectroscopy; Dynamic mechanical analysis; Composite material; Cellulose; Nanoparticle; Ultimate tensile strength; Polymer; Nanotechnology","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":[0.0001599238,0.0004198522,0.0003857367,0.0001048803,0.00008623459,0.0001578428,0.0002520584,0.0002214982,0.00008157146],"category_scores_gemma":[0.00008301438,0.0004695976,0.00005464599,0.0002563999,0.00008282981,0.0004148897,0.0001583859,0.0002350191,0.00001629581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002791405,"about_ca_system_score_gemma":0.00003779493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003141311,"about_ca_topic_score_gemma":0.000003750674,"domain_scores_codex":[0.9982143,0.000009016734,0.0004050503,0.0003875548,0.0001766324,0.0008074178],"domain_scores_gemma":[0.9992499,0.00006402482,0.0000491431,0.0003807801,0.00009322441,0.0001629649],"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":[0.00001558684,0.000006894289,0.00003342359,0.0005102491,0.00005205826,0.0001386145,0.0008278853,0.004812188,0.9928003,0.0001323821,0.0004446555,0.0002257551],"study_design_scores_gemma":[0.00063877,0.0000180331,0.0001659561,0.0001282108,0.00001972589,0.00002377287,0.00031267,0.01533481,0.9677594,0.000120635,0.01489663,0.0005813947],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954811,0.0008484386,0.000530561,0.00003962924,0.0004177228,0.000187513,0.00001346596,0.0005440363,0.001937568],"genre_scores_gemma":[0.9914808,0.0000423139,0.0009915736,0.00002524206,0.0004771903,0.00004211456,0.00006503854,0.00009563749,0.006780033],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02504092,"threshold_uncertainty_score":0.9997756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00342515978839011,"score_gpt":0.1798579742003973,"score_spread":0.1764328144120071,"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."}}