{"id":"W1980321580","doi":"10.1002/aic.12696","title":"Steam gasification of a cellulose surrogate over a fluidizable Ni/α‐alumina catalyst: A kinetic model","year":2011,"lang":"en","type":"article","venue":"AIChE Journal","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Kinetic energy; Catalysis; Cellulose; Adsorption; Chemical engineering; Chemistry; Biomass (ecology); Thermodynamics; Materials science; Physical chemistry; Engineering; Organic chemistry; Physics","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":[0.0001966754,0.0001447915,0.0001869224,0.0001178153,0.00003103727,0.00001515007,0.0002608399,0.00009666678,0.0004225838],"category_scores_gemma":[0.00004307459,0.0001348197,0.00007794933,0.0002239766,0.00004554691,0.0002171759,0.00003408029,0.0002090037,0.00005153003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006005363,"about_ca_system_score_gemma":0.00004755858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000213612,"about_ca_topic_score_gemma":0.000001974507,"domain_scores_codex":[0.9990603,0.00001937704,0.0003516126,0.000121446,0.0002138757,0.0002333391],"domain_scores_gemma":[0.9993861,0.00002245028,0.0001125873,0.0002167728,0.0001266675,0.0001353987],"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":[0.00003534994,0.00006247324,0.0002468622,0.0001061918,0.00005527825,0.000008458144,0.001220425,0.0002364979,0.9951484,0.00006086867,0.001968062,0.0008511305],"study_design_scores_gemma":[0.0004522791,0.00003787901,0.0002972684,0.00005473028,0.00006090977,0.00005106696,0.00009500753,0.01509329,0.9829111,0.0006140581,0.0001724002,0.0001600745],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923895,0.0009959737,0.003364996,0.00001473696,0.0001333872,0.00007118901,0.000006230548,0.00007705832,0.00294691],"genre_scores_gemma":[0.9973634,0.0001883463,0.00202196,0.00001725333,0.00003380929,0.000004369862,0.00000398397,0.00003157644,0.0003352831],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01485679,"threshold_uncertainty_score":0.5497788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01973543503397807,"score_gpt":0.2018144750999818,"score_spread":0.1820790400660037,"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."}}