{"id":"W3196906881","doi":"10.1002/cjce.24308","title":"<scp>CO<sub>2</sub></scp> gasification kinetics of Shenhua bituminous coal by isothermal thermogravimetric analysis","year":2021,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Science Foundation of Shandong Province","keywords":"Bituminous coal; Activation energy; Particle size; Isothermal process; Chemistry; Kinetic energy; Coal; Analytical Chemistry (journal); Kinetics; Thermogravimetric analysis; Particle (ecology); Mineralogy; Thermodynamics; Materials science; Chromatography; Physical chemistry; Organic chemistry; Physics; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002075767,0.0002800564,0.0001923916,0.0003950704,0.000147546,0.0002035665,0.0002203951,0.00016542,0.001033569],"category_scores_gemma":[0.0002734452,0.0001304006,0.0002027142,0.0004161978,0.0002048535,0.0002802751,0.0000906172,0.0001557526,0.0001592268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000252236,"about_ca_system_score_gemma":0.0001816294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003987222,"about_ca_topic_score_gemma":0.005899153,"domain_scores_codex":[0.9998564,0.00001027296,0.000009918627,0.00002976904,0.0000827541,0.0000109865],"domain_scores_gemma":[0.9998949,0.00002911031,0.00002350678,0.000007520072,0.00003851953,0.000006533633],"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":[0.000104521,0.000009640315,0.00236878,0.00006692165,0.00000743101,0.00006036545,0.00004785289,0.001021901,0.9927821,0.0001061629,0.00005746904,0.003366873],"study_design_scores_gemma":[0.000004569598,0.00005738739,0.02155091,0.000004836032,0.00001270271,0.00009822757,0.00005729667,0.01570234,0.9618889,0.00008351544,0.000524888,0.00001439958],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954465,0.0001392909,0.003552777,0.00002635558,0.000005431038,0.000009571648,0.0002241177,0.00003723594,0.0005586856],"genre_scores_gemma":[0.9968773,0.0001146636,0.002136357,0.000007335465,0.000001467096,0.00001291918,0.0002336946,0.00001464058,0.0006016036],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003987222,"threshold_uncertainty_score":0.007928014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00554167867858857,"score_gpt":0.1741339245883837,"score_spread":0.1685922459097951,"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."}}