{"id":"W2019974955","doi":"10.1002/app.36554","title":"Carbon fibers based on pyrolytic lignin","year":2012,"lang":"en","type":"article","venue":"Journal of Applied Polymer Science","topic":"Lignin and Wood Chemistry","field":"Engineering","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Pyrolytic carbon; Lignin; Carbonization; Materials science; Spinning; Fiber; Raw material; Pyrolysis; Cellulose; Biofuel; Carbon fibers; Chemical engineering; Composite material; Pulp and paper industry; Organic chemistry; Chemistry; Composite number; Waste management; Scanning electron microscope","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.0003421573,0.0001058839,0.0001271036,0.0001319021,0.00004429899,0.00003082199,0.0003187355,0.00004169248,0.000007639028],"category_scores_gemma":[0.000003654126,0.0000872589,0.00004511708,0.0003405162,0.0001123473,0.0001181286,0.0000150791,0.0001957798,0.00001165999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008874793,"about_ca_system_score_gemma":0.00008476997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.282581e-7,"about_ca_topic_score_gemma":3.609181e-8,"domain_scores_codex":[0.9989271,0.00000227546,0.0001998781,0.00007396365,0.0004607615,0.0003360145],"domain_scores_gemma":[0.9994506,0.0000369041,0.00007084242,0.0001648984,0.00002178346,0.0002549604],"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":[0.000008786937,0.00003951026,0.0002384198,0.00001758898,0.000009494104,0.000003314291,0.000291799,0.0007344547,0.995335,0.0002633819,0.001970555,0.001087701],"study_design_scores_gemma":[0.0002107781,0.00002275918,0.0000950751,0.00002050827,0.0000110678,0.00001051828,0.00005382475,0.002516327,0.9967154,0.00001543516,0.0002221986,0.0001060626],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7687588,0.000533113,0.00001707933,0.00007193552,0.0007498906,0.00003083894,6.913784e-7,0.00004153494,0.2297961],"genre_scores_gemma":[0.999175,0.000004418791,0.0002505288,0.0001850424,0.0003260807,0.000001197159,9.428697e-8,0.00001225562,0.00004539454],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2304162,"threshold_uncertainty_score":0.3558315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005035984020218917,"score_gpt":0.1957973956627143,"score_spread":0.1907614116424954,"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."}}