{"id":"W2343950308","doi":"10.1016/j.mineng.2016.04.014","title":"Multi component modelling of an air classifier","year":2016,"lang":"en","type":"article","venue":"Minerals Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":false,"ca_institutions":"First Quantum Minerals (Canada)","funders":"","keywords":"Classifier (UML); Coal; Airflow; Process engineering; Computer science; Environmental science; Engineering; Artificial intelligence; Mechanical engineering; Waste management","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001221147,0.0002070812,0.0002446074,0.0001580239,0.00002526641,0.00001244928,0.0001587115,0.000084921,0.0000185338],"category_scores_gemma":[0.00001627072,0.0001595807,0.00005412017,0.0001610239,0.00001694914,0.0002598042,0.00002145243,0.0001016504,0.00001197033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004116352,"about_ca_system_score_gemma":0.000006464125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000131577,"about_ca_topic_score_gemma":0.000002504821,"domain_scores_codex":[0.9990429,0.000007588426,0.0003090588,0.000179738,0.0001394962,0.0003211853],"domain_scores_gemma":[0.9995409,0.00004095086,0.00002983805,0.0002262308,0.00004295598,0.0001191828],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001568406,0.00000999976,0.00002208441,0.00006304263,0.00001211588,0.000002384597,0.00005583801,0.5453901,0.4533824,0.00005727639,0.00006013158,0.0009430562],"study_design_scores_gemma":[0.0003656746,0.00001673965,0.0001467011,0.00020291,0.000008504461,0.000007044905,0.000006970681,0.9245061,0.07257935,0.000008387275,0.001902998,0.0002486202],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7103658,0.0002115905,0.2884516,0.00002248568,0.0002248982,0.00004905381,0.000008499604,0.0003582078,0.0003078731],"genre_scores_gemma":[0.9655544,0.00002743893,0.03364416,0.000007132365,0.0001418159,0.00001106066,0.000005048529,0.00006278785,0.0005461369],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.380803,"threshold_uncertainty_score":0.6507514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03565962280903008,"score_gpt":0.2168237209294364,"score_spread":0.1811640981204063,"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."}}