{"id":"W2319661197","doi":"10.1021/ie500769s","title":"Leaching Characteristics of Inorganic Constituents from Oil Palm Residues by Water","year":2014,"lang":"en","type":"article","venue":"Industrial & Engineering Chemistry Research","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; University of British Columbia","funders":"Biomass Program; Natural Sciences and Engineering Research Council of Canada","keywords":"Leaching (pedology); Pulp and paper industry; Fouling; Chemistry; Palm kernel; Raw material; Potassium; Water content; Wood ash; Palm oil; Environmental science; Metallurgy; 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":[0.0001176793,0.0002439447,0.0001847585,0.0002144086,0.0001588038,0.0002442535,0.000169503,0.0001693329,0.0005479781],"category_scores_gemma":[0.0002226778,0.0001076951,0.0003048608,0.0002249041,0.0001313631,0.0002426887,0.0001410564,0.0001910238,0.000180235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002149154,"about_ca_system_score_gemma":0.0001525091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003654877,"about_ca_topic_score_gemma":0.004139889,"domain_scores_codex":[0.9998852,0.00000836993,0.000009675717,0.00002185628,0.00005042498,0.00002453036],"domain_scores_gemma":[0.999907,0.0000230948,0.00002845563,0.000004092242,0.00002816566,0.000009195481],"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":[0.0002101047,0.00002547134,0.002844383,0.00004969021,0.000008730543,0.00003838623,0.0000418181,0.0006560406,0.9919064,0.00002496549,0.00001501464,0.004178939],"study_design_scores_gemma":[0.000002679345,0.0002537033,0.008038731,0.000004315432,0.00001332425,0.00004037382,0.00007372246,0.002593685,0.9886009,0.00002349006,0.0003478662,0.000007105385],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986154,0.0001138714,0.0008285102,0.000005062422,0.00000165415,0.000005111317,0.0001171846,0.000009802734,0.0003034346],"genre_scores_gemma":[0.9973296,0.0002101292,0.0008251094,0.000006233975,0.000001299239,0.000009031433,0.0001964308,0.00001082892,0.001411353],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003654877,"threshold_uncertainty_score":0.007267177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02759613331030247,"score_gpt":0.2493897801840419,"score_spread":0.2217936468737394,"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."}}