{"id":"W4380987629","doi":"10.1007/978-3-030-96729-1_41","title":"Automation and Robotics in Mining and Mineral Processing","year":2023,"lang":"en","type":"book-chapter","venue":"Springer handbooks","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Laurentian University","funders":"","keywords":"Automation; Mineral processing; Engineering; Manufacturing engineering; Robotics; Process (computing); Process control; Control (management); Systems engineering; Robot; Artificial intelligence; Computer science; Mechanical 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001364531,0.0002949074,0.0003118359,0.0003186343,0.00007179321,0.0001394284,0.00005923579,0.0002598039,0.00000413251],"category_scores_gemma":[0.00001280813,0.0003170787,0.00002556499,0.00003214377,0.00005254909,0.000104892,0.00006317666,0.0002820332,0.000007326954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004612205,"about_ca_system_score_gemma":0.00001882309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004158564,"about_ca_topic_score_gemma":0.00008720792,"domain_scores_codex":[0.9990421,0.000003625455,0.0002898169,0.0002800522,0.0001368126,0.000247615],"domain_scores_gemma":[0.999712,0.00003260602,0.00005976046,0.0001028179,0.00001981922,0.00007295299],"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":[0.00004034614,0.00001812965,0.003770834,0.01331016,0.0002639335,0.0004590641,0.01004329,0.05896556,0.007613778,0.01845584,0.002200345,0.8848587],"study_design_scores_gemma":[0.002616417,0.0001377577,0.004505368,0.02685405,0.0003146699,0.0001698143,0.0002013194,0.9280773,0.0005138749,0.01828203,0.01412985,0.00419757],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.172538,0.0275727,0.003482193,0.0002789849,0.001830114,0.001010816,0.0000291931,0.00405993,0.7891981],"genre_scores_gemma":[0.425791,0.001414999,0.01890221,0.00007317457,0.000998667,0.00003979389,0.00005087528,0.000670668,0.5520586],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8806611,"threshold_uncertainty_score":0.9999281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02202348375259958,"score_gpt":0.2182589254044023,"score_spread":0.1962354416518027,"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."}}