{"id":"W3047063279","doi":"10.1016/j.indcrop.2020.112833","title":"High performance electrospun carbon nanofiber mats derived from flax lignin","year":2020,"lang":"en","type":"article","venue":"Industrial Crops and Products","topic":"Natural Fiber Reinforced Composites","field":"Materials Science","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"Genome Prairie; University of British Columbia","funders":"Composites Innovation Centre; Canada Research Chairs","keywords":"Organosolv; Lignin; Nanofiber; Electrospinning; Cellulose; Chemical engineering; Fourier transform infrared spectroscopy; Carbonization; Materials science; Fiber; Chemistry; Differential scanning calorimetry; Linum; Kraft paper; Polymer; Composite material; Organic chemistry; Scanning electron microscope; Botany","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":[0.0001049939,0.0003085818,0.0001021765,0.0003413601,0.0001431386,0.000200002,0.0001383601,0.000308646,0.0009060821],"category_scores_gemma":[0.0001153847,0.0001184579,0.000129183,0.000162459,0.00009858179,0.0003026552,0.0001315246,0.0002478725,0.0001904805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000128702,"about_ca_system_score_gemma":0.00006454234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003504732,"about_ca_topic_score_gemma":0.002418209,"domain_scores_codex":[0.9999266,0.000005437114,0.000004341705,0.00001953276,0.00002734256,0.0000169288],"domain_scores_gemma":[0.9999073,0.00002067621,0.00002512099,0.000005317979,0.00001953531,0.00002209585],"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":[0.00001891732,0.000008309058,0.000055444,0.00002070521,0.000002386579,0.00005886116,0.000007305949,0.00006984751,0.9987274,0.00001982362,0.00003753644,0.000973553],"study_design_scores_gemma":[0.000003955519,0.00007829267,0.002118703,0.000003222627,0.00000630837,0.00005518778,0.00001267858,0.0007925062,0.9961885,0.00001538657,0.0007219096,0.000003469261],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915746,0.0009103021,0.004073856,0.00007695422,0.00004880223,0.00001369325,0.0001751419,0.0001800396,0.002946613],"genre_scores_gemma":[0.9947892,0.0002700066,0.002051636,0.000030339,0.00001604307,0.000007553272,0.0001382008,0.00002012631,0.002676944],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009060821,"threshold_uncertainty_score":0.003031135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02568949416744499,"score_gpt":0.2110894026145717,"score_spread":0.1853999084471267,"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."}}