{"id":"W4318203738","doi":"10.3390/pr11020381","title":"Geometallurgical Detailing of Plant Operation within Open-Pit Strategic Mine Planning","year":2023,"lang":"en","type":"article","venue":"Processes","topic":"Mining Techniques and Economics","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"SNC-Lavalin (Canada); McGill University","funders":"CHIST-ERA; Comisión Nacional de Investigación Científica y Tecnológica; Agencia Nacional de Investigación y Desarrollo; Agenția Națională pentru Cercetare și Dezvoltare","keywords":"Open-pit mining; Mineral processing; Engineering; Mining engineering; Material flow; Computer science; Civil 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003720529,0.0003065311,0.0004181269,0.0002361579,0.0002406642,0.0006031517,0.0006013495,0.0004217423,0.002544994],"category_scores_gemma":[0.001243379,0.0002483454,0.0003743835,0.0002898489,0.0003526245,0.0005181049,0.0006221845,0.0005473214,0.0002484754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004610124,"about_ca_system_score_gemma":0.001108831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004746675,"about_ca_topic_score_gemma":0.008816046,"domain_scores_codex":[0.9998343,0.00005667388,0.000006320851,0.00002577219,0.00004358897,0.00003323628],"domain_scores_gemma":[0.9996625,0.000176307,0.00005106063,0.00004084457,0.00004817667,0.0000212032],"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":[0.00001540682,0.00001359751,0.0005338441,0.0000190447,0.000003886722,0.00003414587,0.00002310703,0.9819904,0.001125281,0.002799849,0.0001328996,0.01330862],"study_design_scores_gemma":[0.000002084698,0.00001853127,0.0001910398,0.000002228651,0.000001604247,0.00001286426,0.00001809745,0.9977951,0.0002423709,0.001417886,0.0002964237,0.000001873385],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1366242,0.0000610582,0.8543458,0.0001210201,0.00001768137,0.00007441877,0.0001056267,0.0002688409,0.008381292],"genre_scores_gemma":[0.8212497,0.00005355523,0.1769747,0.00001764995,0.000006409603,0.00006816466,0.0001090661,0.00005336008,0.001467469],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004746675,"threshold_uncertainty_score":0.009438097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07967499658867244,"score_gpt":0.2800561162199474,"score_spread":0.200381119631275,"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."}}