{"id":"W4381190601","doi":"10.32920/23542077","title":"Characterization of Valuable Materials from Incineration of Municipal Biosolid and Solid Waste Ash in Ontario: Assessing the Feasibility and Developing a Business Case for Recovery of Select Materials by Municipalities","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Recycling and utilization of industrial and municipal waste in materials production","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Incineration; Municipal solid waste; Context (archaeology); Waste management; Incinerator bottom ash; Liberian dollar; Environmental science; Business; Bottom ash; Fly ash; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002203154,0.0002511293,0.0002174986,0.0009565782,0.001659222,0.0008558517,0.0004014487,0.0003440257,0.0007667427],"category_scores_gemma":[0.0004141368,0.0001678213,0.0002439331,0.001651153,0.0005521849,0.0002346874,0.0002719624,0.000156465,0.0001388511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008468042,"about_ca_system_score_gemma":0.004368545,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8349173,"about_ca_topic_score_gemma":0.94169,"domain_scores_codex":[0.9996977,0.00001898565,0.00001309195,0.00003200721,0.0001710529,0.00006724792],"domain_scores_gemma":[0.9997619,0.00003081073,0.00004452683,0.00001058027,0.0001297891,0.0000224233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00109127,0.000248377,0.491901,0.0006165329,0.00008117504,0.0051762,0.01053761,0.01514014,0.4279599,0.00138628,0.0007688251,0.04509261],"study_design_scores_gemma":[0.00002852678,0.0003827075,0.891721,0.00003432556,0.00005816289,0.0004706068,0.01384127,0.008131741,0.07861482,0.000207203,0.006477654,0.00003193541],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982236,0.00002662788,0.0001920229,0.00001229717,3.11926e-7,0.00002567839,0.0001515277,0.000002943133,0.001364859],"genre_scores_gemma":[0.9972115,0.00008272922,0.0005676663,0.000005348498,4.31691e-7,0.00001226083,0.0001698883,0.000003443614,0.001946685],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1650827,"threshold_uncertainty_score":0.3321097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1026980024738291,"score_gpt":0.3119204108733412,"score_spread":0.2092224083995121,"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."}}