{"id":"W4390579105","doi":"10.1016/j.biortech.2023.130295","title":"Investigation of the evolved pyrolytic products and energy potential of Bagasse: experimental, kinetic, thermodynamic and boosted regression trees analysis","year":2024,"lang":"en","type":"article","venue":"Bioresource Technology","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Bagasse; Pyrolysis; Thermogravimetry; Activation energy; Kinetic energy; Chemistry; Thermodynamics; Bioenergy; Materials science; Waste management; Pulp and paper industry; Biofuel; Organic chemistry; Inorganic chemistry","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":[0.00004031194,0.0001244065,0.0001936189,0.0003699003,0.00002276461,0.000009579934,0.0001540181,0.0001679437,0.00001265702],"category_scores_gemma":[0.00002938676,0.00008595911,0.00003780235,0.00106003,0.0004201541,0.00003260798,0.0001189927,0.00007658323,2.789452e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002027937,"about_ca_system_score_gemma":0.00001108553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001342336,"about_ca_topic_score_gemma":0.000003403593,"domain_scores_codex":[0.9993699,0.00001733743,0.0001897893,0.0002101476,0.000105788,0.000107105],"domain_scores_gemma":[0.9996197,0.00002614232,0.00005173433,0.0002472957,0.00003083749,0.00002425493],"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":[0.000008389875,0.000005451839,0.0008337073,0.0001080217,0.0001305557,0.000001266313,0.0001007948,0.00002135699,0.9961812,0.0002437982,0.00004607501,0.002319405],"study_design_scores_gemma":[0.0001221022,0.0000347306,0.00284223,0.00008389317,0.0001637076,0.000006211325,0.0001687696,0.01522018,0.9809242,0.0002499715,0.00009946519,0.00008448364],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9884773,0.0107445,0.00008717558,0.0003400606,0.00004208717,0.00005849078,0.000006130591,0.0002194128,0.00002485688],"genre_scores_gemma":[0.9997195,0.0000843641,0.0001231971,0.000005356776,0.000008298565,0.000008786271,0.000005086489,0.00001696958,0.00002844662],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01525693,"threshold_uncertainty_score":0.3505311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005135603344021238,"score_gpt":0.1879827141639768,"score_spread":0.1828471108199556,"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."}}