{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002487281,0.0005474198,0.0005590877,0.0005176443,0.0004527181,0.0006216458,0.0008451754,0.000658602,0.002566751],"category_scores_gemma":[0.000574304,0.0003111256,0.0005617065,0.0004584166,0.0003039484,0.0004562746,0.0006029638,0.0003782988,0.0002547498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004959041,"about_ca_system_score_gemma":0.001599249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004688575,"about_ca_topic_score_gemma":0.005212742,"domain_scores_codex":[0.9998272,0.00002030706,0.00001028101,0.00004776506,0.00006781743,0.00002663363],"domain_scores_gemma":[0.9998209,0.00006584066,0.00002195406,0.00001960658,0.00006203169,0.000009799248],"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":[0.0000753264,0.0001017188,0.0008394053,0.0001749976,0.00003670584,0.0001747824,0.0000794013,0.7705569,0.04043373,0.007632235,0.001076828,0.1788178],"study_design_scores_gemma":[0.000008508249,0.00003939262,0.0001056117,0.000003450575,0.000009444189,0.0000287277,0.00001425694,0.9926376,0.00507869,0.001169316,0.0008997273,0.000005304241],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01357033,0.00005301417,0.9836372,0.00004912379,0.00002264033,0.00006820435,0.00004206544,0.0005097649,0.002047648],"genre_scores_gemma":[0.3896795,0.0001183213,0.6071231,0.00004177497,0.00001902151,0.0001809355,0.0001632738,0.00009116394,0.002582897],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004688575,"threshold_uncertainty_score":0.009322524,"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."}}