{"id":"W4409108220","doi":"10.1016/j.jaap.2025.107113","title":"Formation of chloride products in the MSW (municipal solid wastes) pyrolysis process by Py-GC/MS method with key model components","year":2025,"lang":"en","type":"article","venue":"Journal of Analytical and Applied Pyrolysis","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Future Earth","funders":"Institute of Petroleum Engineering, University of Tehran; State Key Laboratory of Biochemical Engineering; Chinese Academy of Sciences","keywords":"Pyrolysis; Process (computing); Municipal solid waste; Waste management; Key (lock); Chemistry; Organic chemistry; Computer 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":[0.0002556169,0.0004596326,0.0001688021,0.0004783422,0.0002726541,0.0002303799,0.0004685359,0.0005268872,0.0009789412],"category_scores_gemma":[0.000328609,0.0001903434,0.0003576933,0.0003077577,0.0002699794,0.0004452053,0.0002503223,0.0004786272,0.0003602265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003101708,"about_ca_system_score_gemma":0.0004975332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001277901,"about_ca_topic_score_gemma":0.001869382,"domain_scores_codex":[0.9997695,0.00002707662,0.00001427704,0.00006832701,0.00009154061,0.00002931045],"domain_scores_gemma":[0.9998597,0.00003850613,0.00003113228,0.00001154998,0.00004002584,0.00001906173],"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":[0.0001975661,0.00002459969,0.0005583315,0.00008452454,0.00001226632,0.00006660107,0.00003645549,0.0002471563,0.9954224,0.00009546771,0.00005213812,0.003202433],"study_design_scores_gemma":[0.000003895091,0.00006656366,0.001058785,0.000002995395,0.000009599882,0.00007353234,0.00001328099,0.001363565,0.9970964,0.00002420179,0.0002806948,0.000006441173],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9722853,0.001170357,0.02308862,0.00009761538,0.00003201373,0.0000530998,0.0008266922,0.0002732761,0.002172989],"genre_scores_gemma":[0.9904321,0.0004664193,0.006938417,0.00003540629,0.000005385673,0.0000393926,0.0003230826,0.00002555992,0.001734312],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001277901,"threshold_uncertainty_score":0.003274918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01135516398667198,"score_gpt":0.2448745183837336,"score_spread":0.2335193543970616,"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."}}