{"id":"W4212997306","doi":"10.24018/ejeng.2020.5.8.1929","title":"Waste Management of Spent Petroleum Refinery Catalyst","year":2020,"lang":"en","type":"article","venue":"European Journal of Engineering and Technology Research","topic":"Metal Extraction and Bioleaching","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Refinery; Refining (metallurgy); Catalysis; Oil refinery; Waste management; Reuse; Coke; Hazardous waste; Fluid catalytic cracking; Precious metal; Petroleum; Environmental science; Materials science; Chemistry; Engineering; Metallurgy; Organic chemistry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002448607,0.000341636,0.0004275972,0.001059767,0.0004844465,0.001107439,0.0005815826,0.0005448088,0.001159374],"category_scores_gemma":[0.0002724591,0.000156452,0.0003272612,0.000745707,0.0002045145,0.0008146014,0.0004560409,0.0003781653,0.0005417329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007154867,"about_ca_system_score_gemma":0.0004869198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001634943,"about_ca_topic_score_gemma":0.002497189,"domain_scores_codex":[0.999675,0.00002342047,0.00002549473,0.00004194681,0.0001605237,0.00007352837],"domain_scores_gemma":[0.9999095,0.00001107189,0.00001731528,0.00001156581,0.0000429488,0.000007657331],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006101934,0.0001832274,0.006041238,0.001711032,0.00004715202,0.001172293,0.0003417751,0.006893299,0.785147,0.005738226,0.001914027,0.1902006],"study_design_scores_gemma":[0.00001144359,0.0002201304,0.001819979,0.00008569707,0.00003680289,0.0003892829,0.0001658389,0.005890255,0.9714504,0.001000645,0.01891477,0.00001476689],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8981383,0.02020546,0.05130348,0.0006012906,0.0001393456,0.000234854,0.0006516181,0.0004144398,0.02831135],"genre_scores_gemma":[0.9702607,0.0068851,0.01109037,0.00007700907,0.00002096935,0.00004883562,0.0004592366,0.00004776889,0.01111001],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001634943,"threshold_uncertainty_score":0.005191207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03607321199369806,"score_gpt":0.2627654571773159,"score_spread":0.2266922451836178,"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."}}