{"id":"W2883906354","doi":"10.5539/apr.v10n4p11","title":"Comparison of the Recycling Efficiency of Metakaolin and Laboratory-Synthesized Zeolite Types LTA and LSX on Used Lubricant Engine Oil","year":2018,"lang":"en","type":"article","venue":"Applied Physics Research","topic":"Lubricants and Their Additives","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Zeolite; Lubricant; Materials science; Viscosity index; Metakaolin; Scanning electron microscope; Chemical engineering; Nuclear chemistry; Fly ash; Metallurgy; Composite material; Chemistry; Organic chemistry; Base oil; Catalysis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002212606,0.0002663123,0.0002854534,0.0003694089,0.0001268288,0.0002999316,0.0002232667,0.0002416444,0.0005716147],"category_scores_gemma":[0.0003885351,0.0001355403,0.0003820653,0.0003046679,0.0001317239,0.0002741147,0.0001612523,0.0001861578,0.0002080286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002308762,"about_ca_system_score_gemma":0.0001701285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002557514,"about_ca_topic_score_gemma":0.004328786,"domain_scores_codex":[0.9998161,0.00002694224,0.00002583277,0.00002922567,0.00005714932,0.0000448052],"domain_scores_gemma":[0.9998556,0.00003017144,0.00003245932,0.00001279273,0.00005491666,0.00001403202],"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":[0.0003485652,0.0000342382,0.001036282,0.0001185403,0.00001709314,0.00005569644,0.00004119817,0.0003118966,0.9934999,0.00004456407,0.00002001694,0.004471964],"study_design_scores_gemma":[0.000005669209,0.0003081058,0.00341938,0.000005701927,0.00002359028,0.00004847358,0.00004172528,0.0005958297,0.9948868,0.000008330646,0.0006504295,0.000006013952],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986101,0.0005001285,0.0003895045,0.00000757757,0.000003988566,0.000007066043,0.00007648259,0.0000116953,0.0003934736],"genre_scores_gemma":[0.9973527,0.0005358172,0.0008817976,0.000007267795,0.000001924249,0.000009172681,0.0001138843,0.00001136683,0.001086031],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002557514,"threshold_uncertainty_score":0.00508523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05441176326518469,"score_gpt":0.3425738360650352,"score_spread":0.2881620727998505,"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."}}