{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002543475,0.0002152784,0.0006640768,0.003557504,0.0001167545,0.0001763303,0.0007260896,0.0002736675,0.0003913548],"category_scores_gemma":[0.00008754205,0.0001509717,0.0004212918,0.004687701,0.0002721003,0.0001553243,0.0001403524,0.0002922314,0.00002565049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001318066,"about_ca_system_score_gemma":0.00004235903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002767697,"about_ca_topic_score_gemma":0.0002247556,"domain_scores_codex":[0.9981483,0.0001095676,0.0007136,0.0003553349,0.0003898381,0.000283325],"domain_scores_gemma":[0.9987742,0.0001911514,0.0004381893,0.0003885822,0.0001053658,0.0001025165],"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":[0.00008751744,0.00007593917,0.0005551406,0.00001450072,0.002001555,0.0004033436,0.0006643429,0.0007577125,0.9766588,0.01614998,0.0001112007,0.002519963],"study_design_scores_gemma":[0.001830183,0.001155819,0.005852792,0.0005440117,0.01423203,0.0004033454,0.01094099,0.008427589,0.6349872,0.2008149,0.1189911,0.001820024],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9564208,0.0148323,0.02677217,0.0007885271,0.0002963091,0.00001893945,0.000009546825,0.0001764197,0.0006849691],"genre_scores_gemma":[0.9984187,0.0003097087,0.0007635702,0.00004522197,0.000186273,0.000001930724,0.000005477969,0.00002653263,0.0002425835],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3416716,"threshold_uncertainty_score":0.6156448,"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."}}