{"id":"W4399366255","doi":"10.1115/1.4065686","title":"Catalyzing Refuse-Derived Fuel Understanding: Quantified Insights From Thermogravimetric Analysis","year":2024,"lang":"en","type":"article","venue":"Journal of Energy Resources Technology","topic":"Thermal and Kinetic Analysis","field":"Materials Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Enerkem (Canada); Université de Sherbrooke","funders":"","keywords":"Thermogravimetric analysis; Fuel cells; Chemical engineering; Chemistry; Waste management; Materials science; Engineering","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":[0.0005396301,0.0007257627,0.0004870832,0.001053986,0.0002336829,0.0008245018,0.0003695294,0.0006367156,0.001484778],"category_scores_gemma":[0.0006206494,0.0003236212,0.0005264058,0.0006168634,0.0003158091,0.0007837531,0.0004571023,0.0009231401,0.0006468944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004613611,"about_ca_system_score_gemma":0.0002171196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001272633,"about_ca_topic_score_gemma":0.002250796,"domain_scores_codex":[0.9994385,0.00003269438,0.00001942406,0.0001362269,0.0003058435,0.0000673406],"domain_scores_gemma":[0.9997839,0.00004936885,0.0000402991,0.00001528558,0.00009985583,0.00001130007],"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":[0.0001290684,0.00004724334,0.004977562,0.0003285746,0.00006769006,0.0001307276,0.00009053733,0.001138575,0.9775112,0.0003911759,0.0002286183,0.01495902],"study_design_scores_gemma":[0.000003573686,0.00008860159,0.009926145,0.00003034278,0.00003095823,0.000179433,0.0001024775,0.007834032,0.9788299,0.0003113243,0.002637535,0.00002580055],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9392661,0.006919461,0.04329528,0.0001378462,0.00009481496,0.0001094037,0.002603843,0.0003048023,0.007268492],"genre_scores_gemma":[0.9844927,0.002589545,0.009200552,0.00009950956,0.00001938235,0.00005878219,0.001181111,0.000121711,0.002236732],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001484778,"threshold_uncertainty_score":0.004967093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01939418343643471,"score_gpt":0.2355809246707732,"score_spread":0.2161867412343385,"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."}}