{"id":"W4210488995","doi":"10.1016/j.biortech.2022.126798","title":"Waste surgical masks to fuels via thermochemical co-processing with waste motor oil and biomass","year":2022,"lang":"en","type":"article","venue":"Bioresource Technology","topic":"Healthcare and Environmental Waste Management","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Ministère de l'Énergie et des Ressources Naturelles; Mitacs","keywords":"Waste management; Motor oil; Cetane number; Waste oil; Biomass (ecology); Diesel fuel; Environmental science; Petroleum; Municipal solid waste; Waste treatment; Co-processing; Pulp and paper industry; Chemistry; Biodiesel; Engineering; Raw material; Organic chemistry; Catalysis","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001498888,0.0004541457,0.0002786928,0.000550635,0.00032092,0.000359874,0.0003800765,0.0004339365,0.003841279],"category_scores_gemma":[0.000302387,0.0002659974,0.0005834578,0.0003520204,0.0002338759,0.0005678018,0.0007393482,0.000552943,0.001178981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001809265,"about_ca_system_score_gemma":0.0003399012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003469143,"about_ca_topic_score_gemma":0.001546176,"domain_scores_codex":[0.9998286,0.00001528109,0.000008449155,0.00004067948,0.00005736715,0.00004969697],"domain_scores_gemma":[0.9998765,0.00002763151,0.00004603128,0.00001784853,0.0000190975,0.00001288879],"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":[0.0003933919,0.0001199309,0.000732692,0.000226564,0.00003140127,0.0003666977,0.00008449463,0.0007051199,0.9736225,0.0008036611,0.0003281602,0.02258542],"study_design_scores_gemma":[0.00001064319,0.0002140405,0.001114859,0.00001300301,0.00002698496,0.0004554907,0.00003999865,0.002232024,0.9926273,0.0001256879,0.003127849,0.00001205088],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9460276,0.0024559,0.04038501,0.0003184443,0.000256925,0.0001142561,0.0001464017,0.0003942725,0.009901234],"genre_scores_gemma":[0.9771667,0.0007897507,0.0144586,0.0001446247,0.00004106594,0.00003876811,0.00008335875,0.00007075456,0.007206384],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003841279,"threshold_uncertainty_score":0.01285034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01213457875996264,"score_gpt":0.2549142597233985,"score_spread":0.2427796809634358,"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."}}