{"id":"W2059366968","doi":"10.1021/ie8013605","title":"Determination of Distributed Activation Energy Model Kinetic Parameters Using Simulated Annealing Optimization Method for Nonisothermal Pyrolysis of Lignin","year":2008,"lang":"en","type":"article","venue":"Industrial & Engineering Chemistry Research","topic":"Thermal and Kinetic Analysis","field":"Materials Science","cited_by":93,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Pyrolysis; Activation energy; Lignin; Kinetic energy; Thermogravimetric analysis; Thermodynamics; Materials science; Annealing (glass); Chemistry; Physical chemistry; Organic chemistry; Composite material","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":[0.001028048,0.0006694261,0.000764872,0.0004405,0.0003029616,0.000398335,0.0007107926,0.0004774787,0.0007675004],"category_scores_gemma":[0.001245703,0.0004449225,0.0007475559,0.000533049,0.0002098147,0.0006811944,0.0002709902,0.0009175307,0.0002511279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007210071,"about_ca_system_score_gemma":0.0008509106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001353766,"about_ca_topic_score_gemma":0.002485192,"domain_scores_codex":[0.9997366,0.00006861364,0.00001733273,0.00005000468,0.0001060438,0.00002145882],"domain_scores_gemma":[0.9996505,0.0001792867,0.00003333638,0.0000424225,0.00008756921,0.00000685455],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001470977,0.0002168812,0.001339097,0.0002194475,0.00004515109,0.00008193635,0.0001208921,0.8368782,0.1261209,0.006385514,0.0003108777,0.02813401],"study_design_scores_gemma":[0.000008557771,0.0000341485,0.0003283283,0.000002371467,0.000007181078,0.00001090091,0.000007938775,0.9696511,0.0289271,0.0006441483,0.0003696529,0.00000858608],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.276102,0.0003398742,0.7207596,0.0000663172,0.00002354628,0.0001320373,0.0002097267,0.0003550535,0.002011757],"genre_scores_gemma":[0.7449656,0.0003551016,0.2516301,0.00001637274,0.000004584863,0.0004831637,0.0003693145,0.0002024346,0.001973226],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001353766,"threshold_uncertainty_score":0.005436897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1117148208336342,"score_gpt":0.3413995006385849,"score_spread":0.2296846798049507,"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."}}