{"id":"W972532323","doi":"10.1016/j.carbpol.2015.07.080","title":"Bark derived submicron-sized and nano-sized cellulose fibers: From industrial waste to high performance materials","year":2015,"lang":"en","type":"article","venue":"Carbohydrate Polymers","topic":"Advanced Cellulose Research Studies","field":"Materials Science","cited_by":54,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cellulose; Nanofiber; Lignin; Materials science; Nanocellulose; Ultimate tensile strength; Composite material; Fiber; Cellulose fiber; Young's modulus; Nano-; Natural fiber; Chemistry; Organic chemistry","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":[0.0001424222,0.0002540534,0.0001407566,0.0002532327,0.0001765573,0.0003846601,0.000138004,0.0001882442,0.0007689701],"category_scores_gemma":[0.00008454183,0.0001065947,0.0001429143,0.0002702729,0.0001649229,0.0005500789,0.0001442798,0.0004057791,0.0003252429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001903326,"about_ca_system_score_gemma":0.0001385216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003359274,"about_ca_topic_score_gemma":0.0009387159,"domain_scores_codex":[0.9999669,0.000004698508,0.00000198572,0.000007854575,0.000008572501,0.000009964229],"domain_scores_gemma":[0.9999684,0.000008737075,0.000004831988,0.000004307938,0.000006109358,0.000007529165],"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":[0.00006160553,0.00003965485,0.0002115911,0.00007328051,0.000004666878,0.00008472328,0.00004543911,0.0002795438,0.9922355,0.0003310733,0.00003429476,0.006598609],"study_design_scores_gemma":[0.000002791226,0.00007034269,0.001683569,0.000008077604,0.000007466481,0.00005431403,0.0000526961,0.0003686059,0.9958377,0.000202298,0.001709043,0.000003001994],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9840214,0.006013501,0.005090395,0.0001153541,0.00003135411,0.0000157,0.0001337778,0.00003516487,0.004543453],"genre_scores_gemma":[0.9913793,0.003070754,0.002977035,0.0000314085,0.00001432399,0.000006692565,0.00009888768,0.0000179063,0.002403788],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007689701,"threshold_uncertainty_score":0.002572417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0320652939695081,"score_gpt":0.256100674328758,"score_spread":0.2240353803592499,"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."}}