{"id":"W2945510077","doi":"10.1016/j.wasman.2019.05.031","title":"Prediction of physical separation of metals from soils contaminated with municipal solid waste ashes and metallurgical residues","year":2019,"lang":"en","type":"article","venue":"Waste Management","topic":"Recycling and utilization of industrial and municipal waste in materials production","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue; Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Contamination; Environmental remediation; Municipal solid waste; Waste management; Environmental science; Soil contamination; Soil water; Fraction (chemistry); Metallurgy; Environmental chemistry; Chemistry; Materials science","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":[0.0004521667,0.0007516909,0.000419339,0.0011485,0.0002906152,0.0009106931,0.0004376357,0.0006078705,0.0003326081],"category_scores_gemma":[0.0009065113,0.0002599759,0.0005881775,0.0004136409,0.0002266683,0.000316246,0.0002757795,0.0003401705,0.0001485254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007164331,"about_ca_system_score_gemma":0.0007395656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01394446,"about_ca_topic_score_gemma":0.01279764,"domain_scores_codex":[0.9997726,0.0000379549,0.00001681606,0.00006247305,0.00007205694,0.00003810294],"domain_scores_gemma":[0.99934,0.0003292967,0.0001228968,0.00002122017,0.0001111801,0.00007541283],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002650701,0.001502447,0.556818,0.0002258815,0.0005080921,0.0002289446,0.00009617703,0.2449832,0.1378942,0.0002641071,0.0003856459,0.05444263],"study_design_scores_gemma":[0.00006909892,0.001046698,0.2824639,0.00001315585,0.0001344664,0.0001148077,0.0001872308,0.6430025,0.07201279,0.000517944,0.0004064241,0.00003100538],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973058,0.00006100978,0.002283209,0.00001035898,0.000002959482,0.00001042539,0.0001053172,0.00002790007,0.0001929459],"genre_scores_gemma":[0.9985459,0.00003585872,0.0009602971,0.000002955914,0.000001600652,0.000005204594,0.0002043226,0.000003210806,0.0002406717],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01394446,"threshold_uncertainty_score":0.02772659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0208358446292252,"score_gpt":0.2437703237462253,"score_spread":0.2229344791170001,"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."}}