{"id":"W2783289355","doi":"10.1016/j.biombioe.2017.11.011","title":"Kinetics of softwood kraft lignin inert and oxidative thermolysis","year":2018,"lang":"en","type":"article","venue":"Biomass and Bioenergy","topic":"Lignin and Wood Chemistry","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval; Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; FPInnovations","keywords":"Char; Lignin; Chemistry; Thermal decomposition; Inert gas; Pyrolysis; Decomposition; Organic chemistry; Activation energy; Yield (engineering); Materials science","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":[],"consensus_categories":[],"category_scores_codex":[0.00002183235,0.0001063437,0.0001274212,0.00003444702,0.0000180217,0.00001357824,0.00005409147,0.00007824744,0.000008150228],"category_scores_gemma":[0.000003468835,0.00008517503,0.00002095485,0.0001031978,0.0001344753,0.00002558416,0.00004006285,0.00002278981,0.000001219814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000537757,"about_ca_system_score_gemma":0.000002345933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003097028,"about_ca_topic_score_gemma":0.00001084354,"domain_scores_codex":[0.9995828,0.000005293746,0.0001172062,0.0001156938,0.0000609023,0.000118153],"domain_scores_gemma":[0.9997701,0.00001539734,0.00002258941,0.0001054752,0.00002956733,0.00005688865],"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":[0.000001377839,0.00001563292,0.0003971817,0.00003929445,0.00005469687,0.000001291623,0.00008549146,4.02938e-7,0.9964838,0.0001063106,0.001182477,0.001632015],"study_design_scores_gemma":[0.0001875582,0.00009392191,0.0003690637,0.00001740924,0.00001827365,0.000004957138,0.00005054277,0.0001948201,0.9951692,0.00006515768,0.003713085,0.0001160575],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950762,0.001021202,0.0000792997,0.0000420296,0.00006743912,0.00002001068,0.00001507208,0.00005647712,0.003622203],"genre_scores_gemma":[0.9989583,0.0001898866,0.0005469797,0.00001756389,0.0001321999,0.000002500153,0.000006906465,0.00001307268,0.0001326058],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003882018,"threshold_uncertainty_score":0.3473337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005810960267056233,"score_gpt":0.1886143174645708,"score_spread":0.1828033571975146,"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."}}