{"id":"W4403476141","doi":"10.1080/17480930.2024.2415059","title":"Integrating geometallurgy in the simulation of processing plant responses and applying policy gradient for shovel allocation in operating mining complexes","year":2024,"lang":"en","type":"article","venue":"International Journal of Mining Reclamation and Environment","topic":"Mining Techniques and Economics","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Shovel; Computer science; Mining engineering; Engineering; Mechanical engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0009694383,0.0006203147,0.0009784176,0.000618837,0.000552017,0.001144248,0.001014463,0.001657491,0.002631379],"category_scores_gemma":[0.002740659,0.0004845811,0.0007772349,0.0004805566,0.000901918,0.0007544808,0.001055249,0.001272776,0.0002029767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001235073,"about_ca_system_score_gemma":0.001644844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03828413,"about_ca_topic_score_gemma":0.01937441,"domain_scores_codex":[0.9996822,0.0001198843,0.00001591902,0.00005173921,0.00005109549,0.00007906506],"domain_scores_gemma":[0.9987087,0.0008620127,0.000146516,0.00005179335,0.0001176655,0.0001132583],"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":[0.00001029619,0.0000080681,0.0002759056,0.000003182117,0.000002241469,0.00001013577,0.000008777498,0.9986858,0.00006618893,0.0004989408,0.00001699067,0.0004135345],"study_design_scores_gemma":[0.000002119524,0.000005522672,0.00004358649,6.663199e-7,9.282184e-7,0.00000108689,0.0000036393,0.9996936,0.00003324244,0.0001807392,0.00003348518,0.000001308561],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4865966,0.000212622,0.4977196,0.00061909,0.00008915473,0.0002202638,0.0003601265,0.0005869238,0.01359576],"genre_scores_gemma":[0.9831772,0.00005925775,0.01525258,0.00003786623,0.000008468563,0.00008566659,0.00006815902,0.00002415388,0.001286532],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03828413,"threshold_uncertainty_score":0.07612258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03122199752985768,"score_gpt":0.2833124268038631,"score_spread":0.2520904292740055,"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."}}