{"id":"W4389495381","doi":"10.2139/ssrn.4658561","title":"Using a Composite Catalyst in the Gasification Process, In-Situ Plastic Waste is Converted to Energy","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue","funders":"","keywords":"Catalysis; Composite number; Process (computing); Materials science; In situ; Plastic waste; Process engineering; Waste management; Energy (signal processing); Environmental science; Chemical engineering; Composite material; Computer science; Engineering; Chemistry; Organic chemistry; Physics","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":[0.0001317964,0.0004602842,0.0004948787,0.0004745178,0.0003719956,0.0007225309,0.0003399512,0.0006106267,0.002572552],"category_scores_gemma":[0.0001630116,0.0002144994,0.0005119174,0.0004341442,0.0002777416,0.0003944543,0.0003496289,0.0006464223,0.0008597026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002673469,"about_ca_system_score_gemma":0.0002493597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005640698,"about_ca_topic_score_gemma":0.001378105,"domain_scores_codex":[0.9998934,0.000006723854,0.000004516766,0.00003570244,0.00003754749,0.00002208962],"domain_scores_gemma":[0.9999285,0.00002014239,0.000009667567,0.00001397204,0.00001367122,0.00001406841],"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":[0.0001830471,0.00004311756,0.0002059261,0.0001350542,0.00001671866,0.00008753404,0.00001198655,0.000293471,0.993959,0.0003503332,0.00007685349,0.004637011],"study_design_scores_gemma":[0.000002869754,0.00004090884,0.0003469773,0.000001738993,0.000008733291,0.00005953393,0.000005310494,0.0009484045,0.9977659,0.00005028961,0.0007666005,0.000002817081],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9487136,0.001653769,0.03279274,0.000297091,0.0005478409,0.00008043498,0.0003403363,0.000412549,0.01516158],"genre_scores_gemma":[0.9818437,0.0006168073,0.008377782,0.00004707819,0.00002714368,0.00001117275,0.0001769988,0.00005166112,0.008847685],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002572552,"threshold_uncertainty_score":0.008606076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01845385923804677,"score_gpt":0.2474937506064745,"score_spread":0.2290398913684278,"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."}}