{"id":"W2318629621","doi":"10.3182/20070821-3-ca-2919.00007","title":"MULTI-LEVEL DATA RECONCILIATION APPLICATION TO A GOLD ORE PROCESSING PLANT","year":2007,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Leaching (pedology); Slurry; Gold ore; Grinding; Mineral processing; Metallurgy; Context (archaeology); Particle size; Particle (ecology); Process engineering; Environmental science; Mineralogy; Materials science; Chemistry; Engineering; Chemical engineering; Geology; Environmental engineering; Soil science","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":[0.001714013,0.001073715,0.001148855,0.002265885,0.001631685,0.001896325,0.001684072,0.001185943,0.006029549],"category_scores_gemma":[0.003705967,0.0006882731,0.0008888363,0.002252005,0.0004798819,0.001322977,0.00175795,0.0009455803,0.001393219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008055023,"about_ca_system_score_gemma":0.001311588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005310104,"about_ca_topic_score_gemma":0.006591367,"domain_scores_codex":[0.998776,0.000223582,0.0001134414,0.0002857457,0.0005042839,0.00009699615],"domain_scores_gemma":[0.9972817,0.000690747,0.0001474256,0.001050069,0.0007264683,0.0001036215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001939132,0.0005013481,0.01499218,0.0005945839,0.0003709325,0.002351322,0.00140786,0.08095218,0.07814302,0.003738886,0.06136889,0.7536398],"study_design_scores_gemma":[0.0003502106,0.000371883,0.01505016,0.00006818551,0.0002475364,0.0008391501,0.0007292067,0.7267593,0.1836783,0.005063417,0.06666669,0.0001760641],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1508987,0.0005778102,0.6228673,0.001375687,0.0006298439,0.0004074648,0.003450158,0.2120052,0.007787708],"genre_scores_gemma":[0.6185892,0.0001723333,0.3643157,0.0004532195,0.0001298206,0.0001959859,0.004668173,0.004970359,0.006505211],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006029549,"threshold_uncertainty_score":0.02017087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05851300375640988,"score_gpt":0.2804676368653645,"score_spread":0.2219546331089546,"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."}}