{"id":"W4320168887","doi":"10.1016/j.fuel.2023.127663","title":"Exploration of the bioenergy potential of Dactyloctenium aegyptium through pyrolysis, kinetics, and thermodynamic parameters to produce clean fuels and biochemicals","year":2023,"lang":"en","type":"article","venue":"Fuel","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Deanship of Scientific Research, King Saud University; King Abdulaziz University","keywords":"Pyrolysis; Biomass (ecology); Thermogravimetry; Bioenergy; Thermogravimetric analysis; Activation energy; Chemistry; Nitrogen; Biofuel; Chemical engineering; Materials science; Organic chemistry; Waste management; Inorganic chemistry; Biology; Agronomy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009835521,0.0001719194,0.00009115636,0.0001954504,0.00007291036,0.0001895657,0.00008381282,0.0001092532,0.0004259566],"category_scores_gemma":[0.0001035143,0.00006803184,0.0001061826,0.0001492162,0.0001048488,0.0002366531,0.0001366647,0.0002173357,0.00007972195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00017419,"about_ca_system_score_gemma":0.0001480152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006520129,"about_ca_topic_score_gemma":0.001115076,"domain_scores_codex":[0.9999777,0.000002282769,0.000001510238,0.000004589349,0.000008510101,0.00000535818],"domain_scores_gemma":[0.9999709,0.000006920728,0.000009047747,0.000003195542,0.000006892247,0.000002976971],"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":[0.00009015008,0.00001309645,0.001173885,0.00005527296,0.000006118337,0.0000310876,0.000009798085,0.00125297,0.9916681,0.0004400626,0.0000292362,0.005230162],"study_design_scores_gemma":[0.00000582355,0.0001461189,0.003373234,0.000007752328,0.00001499707,0.00007560388,0.00003057258,0.006702788,0.9883287,0.0001645656,0.001144983,0.000004933539],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966685,0.0004309842,0.001645235,0.00003867111,0.000005641004,0.000003858831,0.0001260005,0.000008498099,0.001072659],"genre_scores_gemma":[0.9978485,0.000506367,0.00115437,0.000007511549,0.000001045658,0.00000230805,0.00006799791,0.000003625398,0.0004082428],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006520129,"threshold_uncertainty_score":0.001424968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01327452153331747,"score_gpt":0.2150669885791003,"score_spread":0.2017924670457829,"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."}}