{"id":"W3034116499","doi":"10.3390/su12114645","title":"Pelletization of Refuse-Derived Fuel with Varying Compositions of Plastic, Paper, Organic and Wood","year":2020,"lang":"en","type":"article","venue":"Sustainability","topic":"Recycling and Waste Management Techniques","field":"Environmental Science","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; University of British Columbia","funders":"Mitacs","keywords":"Pelletizing; Pellets; Pellet; Materials science; Heat of combustion; Refuse-derived fuel; Water content; Waste management; Composite material; Durability; Biomass (ecology); Mixing (physics); Pulp and paper industry; Municipal solid waste; Chemistry; Geotechnical engineering; Engineering; Combustion","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001119818,0.00006849519,0.0001243139,0.00001453593,0.00004254446,0.000006659135,0.00008173642,0.00002533134,0.0001712059],"category_scores_gemma":[0.0001680736,0.00005849588,0.00001985044,0.0001971666,0.0002181384,0.00009556889,0.0001317461,0.00005134987,0.000001334135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006806185,"about_ca_system_score_gemma":0.0000117594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009670055,"about_ca_topic_score_gemma":0.000004403343,"domain_scores_codex":[0.9993953,0.00004516711,0.0001653222,0.0001868784,0.0001150193,0.00009233091],"domain_scores_gemma":[0.9996418,0.00005498643,0.00008304765,0.0001418026,0.00003530276,0.00004302051],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005623625,0.0007917998,0.77389,0.002985012,0.0001006308,0.00001166828,0.009165469,0.006129016,0.1944957,0.003944796,0.0005789705,0.007344605],"study_design_scores_gemma":[0.002095303,0.002323299,0.8792971,0.0001204321,0.0002038659,0.000003433902,0.004383886,0.006129495,0.07553072,0.02749144,0.001751558,0.0006694863],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9800203,0.00002078407,0.01670105,0.001118307,0.000005832506,0.0002940021,0.000002773608,0.00006115869,0.001775836],"genre_scores_gemma":[0.9985336,0.00001710241,0.001361513,0.00005558083,0.000004279403,0.000004984515,0.000002996722,0.000006970513,0.00001298598],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.118965,"threshold_uncertainty_score":0.2385393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005733626939220772,"score_gpt":0.2049336691456053,"score_spread":0.1992000422063846,"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."}}