{"id":"W4412949713","doi":"10.1016/j.mineng.2025.109660","title":"A novel methodology to generate an optimal irrigation plan on a copper-oxide ore heap leaching process","year":2025,"lang":"en","type":"article","venue":"Minerals Engineering","topic":"Metal Extraction and Bioleaching","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"Fondo Nacional de Desarrollo Científico y Tecnológico; Fondo de Fomento al Desarrollo Científico y Tecnológico; Agencia Nacional de Investigación y Desarrollo","keywords":"Heap leaching; Copper ore; Leaching (pedology); Copper; Metallurgy; Heap (data structure); Process engineering; Environmental science; Materials science; Computer science; Engineering; Soil science; Programming language","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":[0.0004698107,0.0002911591,0.0003134749,0.0003943494,0.00008207126,0.00008137058,0.0001856723,0.000134766,0.0000160976],"category_scores_gemma":[0.0001800387,0.0002868101,0.00005649611,0.0004267453,0.000007216715,0.0002162153,0.0000246809,0.0004014798,0.00001827841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008992176,"about_ca_system_score_gemma":0.00001885388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003864818,"about_ca_topic_score_gemma":0.00002104142,"domain_scores_codex":[0.9987766,0.00004037173,0.0003357086,0.0003262151,0.0001415971,0.0003794913],"domain_scores_gemma":[0.9994526,0.00009611694,0.00002654759,0.0002275393,0.00004241874,0.0001547692],"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":[0.00001475046,0.0000149427,0.000007493801,0.00006073512,0.00002347767,0.000002419185,0.0001691055,0.526483,0.4704479,0.0008939502,0.000155025,0.001727171],"study_design_scores_gemma":[0.0003797315,0.00007299905,0.0004186861,0.0001783928,0.00002260821,0.00002604374,0.00009862698,0.8008417,0.188863,0.00001196688,0.00866453,0.0004216548],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6722857,0.00007685387,0.3246797,0.0001440567,0.000536185,0.0001753897,0.000009260071,0.0005256115,0.001567233],"genre_scores_gemma":[0.9182972,0.000005053897,0.08034118,0.0003974572,0.0002128952,0.00007286995,0.00004709425,0.00005852438,0.0005676947],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2815849,"threshold_uncertainty_score":0.9999584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05830291707300243,"score_gpt":0.3108315050642964,"score_spread":0.2525285879912939,"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."}}