{"id":"W4313505975","doi":"10.1007/978-3-031-17425-4_77","title":"Detailing of Mineral Processing Operations Within Strategic Mine Planning Algorithm: A Quantitative Cornerstone for Enabling Process Innovation","year":2023,"lang":"en","type":"book-chapter","venue":"","topic":"Mining Techniques and Economics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Cornerstone; Process (computing); Computer science; Industrial engineering; Algorithm; Process management; Engineering; Process engineering; Geography; Archaeology","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":[0.0003315202,0.0003385232,0.0004893371,0.0005468862,0.00009643109,0.00008023826,0.0001537041,0.0002946236,0.00001923997],"category_scores_gemma":[0.00003418935,0.0003604279,0.00006724417,0.0001722284,0.00004614233,0.0002251394,0.00002385453,0.0002761016,0.000003670335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007633548,"about_ca_system_score_gemma":0.0001296359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001144727,"about_ca_topic_score_gemma":0.00005229306,"domain_scores_codex":[0.9984577,0.000002662443,0.0008863176,0.0003118454,0.0001116801,0.000229839],"domain_scores_gemma":[0.9991528,0.00006422456,0.000221415,0.0001513064,0.0003757516,0.00003453266],"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":[0.0000352334,0.00001302404,0.000006671904,0.002305813,0.0002268197,0.000006965161,0.002630227,0.7298505,0.002267831,0.259489,0.0002517636,0.002916247],"study_design_scores_gemma":[0.0002513884,0.0001310454,5.514221e-7,0.001075912,0.00006051251,0.000005339876,0.0009780248,0.9833227,0.001611717,0.01200144,0.0001163024,0.0004450365],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06469997,0.0008059707,0.8001832,0.0000576761,0.0007458768,0.002376326,0.0004099948,0.002569966,0.128151],"genre_scores_gemma":[0.1322986,0.000110239,0.7596555,0.00005471739,0.0005034026,0.0004203591,0.001784978,0.0006888507,0.1044834],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2534723,"threshold_uncertainty_score":0.9998848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1164534814272653,"score_gpt":0.3163592974144349,"score_spread":0.1999058159871695,"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."}}