{"id":"W4280642807","doi":"10.1002/cjce.24466","title":"A method for assessing the performance of sorting unit operations in a material recovery facility based on waste characterizations","year":2022,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Recycling and Waste Management Techniques","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Polytechnique Montréal","funders":"","keywords":"Sorting; Separator (oil production); Process engineering; Unit operation; Computer science; Process (computing); Separation process; Environmental science; Engineering; Algorithm","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009293675,0.00005185265,0.0000868419,0.00006031574,0.0001451845,0.00003774986,0.0002204872,0.00001447509,0.00006672049],"category_scores_gemma":[0.00009489676,0.00003700688,0.00003944621,0.0001687372,0.00002357706,0.00008322835,0.00002641727,0.0001741363,1.654479e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001642109,"about_ca_system_score_gemma":0.00005251922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005603459,"about_ca_topic_score_gemma":0.00006568331,"domain_scores_codex":[0.9994368,0.00004063357,0.0002344619,0.00005401223,0.0001130089,0.0001210779],"domain_scores_gemma":[0.9996897,0.00009371065,0.00007473931,0.00009214925,0.000008221248,0.00004145966],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006760446,0.000005574347,0.0007538751,0.000008857564,0.00000340273,6.561855e-7,0.0001043429,0.9086283,0.08844049,0.00001437063,0.00001486414,0.00201848],"study_design_scores_gemma":[0.0001276817,0.00005243967,0.001221115,0.00004456198,0.00001137398,0.000005733589,0.00005460655,0.9246603,0.07328057,0.00002626761,0.0004478749,0.00006749262],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9851599,0.00000187146,0.01406799,0.0005090919,0.00006972643,0.0001152652,0.00001811671,0.000004188323,0.00005380679],"genre_scores_gemma":[0.995114,2.769673e-7,0.004745706,0.00007928162,0.0000229423,0.00001769851,0.000004909512,0.000005161789,0.00001006294],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01603195,"threshold_uncertainty_score":0.1509097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01348212949008182,"score_gpt":0.2369651897455944,"score_spread":0.2234830602555126,"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."}}