{"id":"W2620420124","doi":"10.11159/mmme17.133","title":"Extraction of Aluminium from Kaolin: a Comparative Study of Hydrometallurgical Processes","year":2017,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Mechanical, Chemical, and Material Engineering","topic":"Bauxite Residue and Utilization","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Aluminium; Extraction (chemistry); Metallurgy; Hydrometallurgy; Materials science; Computer science; Chemistry; Chromatography; Copper","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":[0.0001716766,0.000322171,0.0004374364,0.0006828643,0.00021485,0.0004110601,0.0002593424,0.0003932701,0.000810697],"category_scores_gemma":[0.0002407783,0.0001428494,0.0005184366,0.0005097601,0.0002231873,0.000582176,0.0002809099,0.0002745347,0.000427169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002097235,"about_ca_system_score_gemma":0.0001918007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005250663,"about_ca_topic_score_gemma":0.001160213,"domain_scores_codex":[0.9998475,0.00002148041,0.00001549074,0.00002969896,0.00005284803,0.00003297505],"domain_scores_gemma":[0.9999079,0.00002508627,0.00002023963,0.000006657496,0.0000298446,0.00001032421],"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":[0.0002530171,0.00005131828,0.0005068629,0.0005667424,0.00003108742,0.0001911638,0.00008528232,0.0003051428,0.9896171,0.00007797131,0.00003005589,0.008284247],"study_design_scores_gemma":[0.00001177845,0.0007158226,0.005184934,0.00003047193,0.00008066629,0.0004571004,0.0001571191,0.0006787805,0.9865944,0.00007722701,0.005991078,0.00002057311],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9832945,0.009227308,0.002913544,0.00006553601,0.00002980249,0.0001204876,0.000258802,0.00002858214,0.004061467],"genre_scores_gemma":[0.9789843,0.01200085,0.004847261,0.00007381702,0.00003714015,0.00004188451,0.0003182987,0.00002292708,0.003673577],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000810697,"threshold_uncertainty_score":0.002712011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01783556199279086,"score_gpt":0.2503747224751186,"score_spread":0.2325391604823278,"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."}}