{"id":"W4377943746","doi":"10.1002/apj.2935","title":"Analysis of gas product changes during pyrolysis of oily sludge based on density functional theory calculation","year":2023,"lang":"en","type":"article","venue":"Asia-Pacific Journal of Chemical Engineering","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Petro-Canada","funders":"Department of Science and Technology of Sichuan Province","keywords":"Pyrolysis; Pyrolysis–gas chromatography–mass spectrometry; Thermogravimetric analysis; Mass spectrometry; Density functional theory; Pyrolytic carbon; Chemistry; Gas chromatography; Oil sludge; Chemical engineering; Organic chemistry; Materials science; Waste management; Computational chemistry; Chromatography","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":[0.0004067488,0.0002084456,0.0005491878,0.001008911,0.00001632356,0.000009302978,0.0001875878,0.000111557,0.00006528072],"category_scores_gemma":[0.0003554257,0.0001988007,0.0003148841,0.00198187,0.00004472665,0.000101687,0.00002975145,0.0002591531,0.000003278883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001042329,"about_ca_system_score_gemma":0.00002431318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.155302e-7,"about_ca_topic_score_gemma":9.67609e-8,"domain_scores_codex":[0.9984984,0.0000192292,0.0005517986,0.0001758809,0.000513495,0.0002411897],"domain_scores_gemma":[0.9989163,0.0002845641,0.0002132991,0.000239089,0.0002308083,0.0001159026],"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":[0.0001124809,0.00002835839,0.0004844913,0.0002607151,0.0006192781,0.000007884832,0.00007425881,0.1516595,0.8460425,0.00002376145,0.00005418409,0.0006325493],"study_design_scores_gemma":[0.0003479894,0.00002391367,0.0025674,0.0001090699,0.0004159016,0.000007270542,0.00004963409,0.03628288,0.9599972,0.00002263471,0.00001699681,0.00015905],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971241,0.0001445982,0.002184322,0.0001138509,0.000173035,0.00005627078,0.0000139655,0.0001169879,0.00007288731],"genre_scores_gemma":[0.9994926,0.00002041833,0.0003150934,0.000003112304,0.00009577297,0.000003442921,0.000023021,0.00003412282,0.00001237128],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1153767,"threshold_uncertainty_score":0.8106856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007006259873096716,"score_gpt":0.1861935715375694,"score_spread":0.1791873116644727,"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."}}