{"id":"W2153782884","doi":"10.1016/j.ces.2006.12.066","title":"<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" altimg=\"si37.gif\" display=\"inline\" overflow=\"scroll\"><mml:mi>Co</mml:mi><mml:mo>–</mml:mo><mml:mi>Ni</mml:mi><mml:mo>/</mml:mo><mml:msub><mml:mrow><mml:mi>Al</mml:mi></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msub><mml:msub><mml:mrow><mml:mi mathvariant=\"normal\">O</mml:mi></mml:mrow><mml:mrow><mml:mn>3</mml:mn></mml:mrow></mml:msub></mml:math> oxygen carrier for fluidized bed chemical-looping combustion: Desorption kinetics and metal–support interaction","year":2007,"lang":"lv","type":"article","venue":"Chemical Engineering Science","topic":"Chemical Looping and Thermochemical Processes","field":"Engineering","cited_by":93,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Reactivity (psychology); Desorption; Oxygen; Metal; Chemistry; Chemical looping combustion; Analytical Chemistry (journal); Materials science; Physical chemistry; Combustion; Metallurgy; Adsorption; Organic 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007830118,0.002042208,0.0009885394,0.002032677,0.0009571087,0.004167414,0.00319785,0.001984297,0.5742553],"category_scores_gemma":[0.002973947,0.001342644,0.001071237,0.002020791,0.0005349967,0.003297023,0.0016604,0.002289015,0.4560524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002397496,"about_ca_system_score_gemma":0.001280998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009628084,"about_ca_topic_score_gemma":0.007970251,"domain_scores_codex":[0.9995399,0.00005811915,0.00004794956,0.00006906054,0.0002298074,0.00005529967],"domain_scores_gemma":[0.9988502,0.0002989057,0.00006814165,0.0003371865,0.0003644267,0.00008104795],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000194087,0.00007846716,0.0002723947,0.0004068453,0.00002327069,0.0001096084,0.0001204823,0.001448933,0.005528281,0.02291401,0.8910077,0.07789589],"study_design_scores_gemma":[0.00007561662,0.00002073811,0.0005400451,0.00007312216,0.000009607213,0.0001271922,0.00004466561,0.005756808,0.0203845,0.007257607,0.9656602,0.00004996638],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.00293482,0.000305777,0.2253975,0.0019728,0.0009094396,0.0005981279,0.1680671,0.2671519,0.3326626],"genre_scores_gemma":[0.0269817,0.0009303723,0.1422041,0.0014694,0.0002783944,0.001219679,0.2382753,0.1574147,0.4312263],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5742553,"threshold_uncertainty_score":0.6072731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01448740787733454,"score_gpt":0.2368655123463773,"score_spread":0.2223781044690427,"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."}}