{"id":"W1545173891","doi":"10.1007/978-3-319-65136-1_122","title":"Improvement of Alumina Dissolution Rate through Alumina Feeder Pipe Modification","year":2016,"lang":"en","type":"book-chapter","venue":"The minerals, metals & materials series","topic":"Bauxite Residue and Utilization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre de Recherche en Sciences Animales de Deschambault; Alcoa (Canada)","funders":"","keywords":"Dissolution; Muck; Materials science; Aluminium; Metallurgy; Chemical engineering; Environmental science; Engineering","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":[0.0001097581,0.0002568786,0.0002024344,0.0001805366,0.0001172388,0.0002410096,0.000212999,0.0002136635,0.00091449],"category_scores_gemma":[0.000126369,0.000149606,0.0002818865,0.0002302783,0.0001120159,0.0003244365,0.0001856209,0.0003434466,0.0004861727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002020946,"about_ca_system_score_gemma":0.0001591919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003262202,"about_ca_topic_score_gemma":0.0006378295,"domain_scores_codex":[0.9999056,0.000005993262,0.000006571666,0.00002229587,0.0000443063,0.00001517828],"domain_scores_gemma":[0.9999583,0.000006307976,0.00001247557,0.000005730156,0.00001309105,0.000004046456],"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":[0.00005956371,0.00001967258,0.0001284986,0.00005342725,0.000003330388,0.00004118754,0.00002113467,0.0001744081,0.9902321,0.0001640119,0.0001124065,0.00899029],"study_design_scores_gemma":[0.000002395453,0.00006528811,0.000306393,0.000001162586,0.000005101106,0.00005505665,0.000004980758,0.0005818795,0.9970614,0.00001885473,0.001894953,0.00000239474],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9602157,0.002053478,0.02138277,0.0001376629,0.000133849,0.00005931998,0.0001623779,0.0004635472,0.01539135],"genre_scores_gemma":[0.9730409,0.001316643,0.009489994,0.00004268458,0.00002271806,0.00001884374,0.0001493172,0.00006766842,0.01585108],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00091449,"threshold_uncertainty_score":0.003059268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02164332433905655,"score_gpt":0.2292025828686948,"score_spread":0.2075592585296382,"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."}}