{"id":"W2782788408","doi":"10.1016/j.hydromet.2018.01.001","title":"Temperature control in copper heap bioleaching","year":2018,"lang":"en","type":"article","venue":"Hydrometallurgy","topic":"Metal Extraction and Bioleaching","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Raffinate; Heap leaching; Heap (data structure); Bioleaching; Chemistry; Copper; Metallurgy; Chalcocite; Volumetric flow rate; Hydrometallurgy; Sulfide; Thermodynamics; Materials science; Chalcopyrite; Extraction (chemistry); Computer science","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":[0.000231206,0.0002485688,0.0002681301,0.0001687221,0.0003088376,0.0005429488,0.0003933529,0.0002314341,0.001002591],"category_scores_gemma":[0.0004466384,0.0001845923,0.0001355159,0.0001703485,0.000314749,0.0003732179,0.000309618,0.000244336,0.0002662209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006790005,"about_ca_system_score_gemma":0.0003131772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001831838,"about_ca_topic_score_gemma":0.003077199,"domain_scores_codex":[0.9997991,0.00002435013,0.00001107069,0.00005454247,0.00005643151,0.00005459513],"domain_scores_gemma":[0.9997557,0.00005780041,0.00005663231,0.00002367383,0.0000849393,0.00002129611],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006310408,0.00003100145,0.0007304319,0.00004997073,0.000004844722,0.00003060438,0.00004740338,0.001536325,0.988736,0.0001867976,0.00009894319,0.00791664],"study_design_scores_gemma":[0.00001146593,0.0001996426,0.004165632,0.00000544288,0.000009255526,0.0000253319,0.0000667376,0.006698108,0.9875906,0.00007538052,0.001141005,0.00001142517],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9824781,0.0009166316,0.0138182,0.000120002,0.00006028617,0.00001942604,0.00006971251,0.0002128624,0.002304829],"genre_scores_gemma":[0.9965256,0.000202968,0.001654284,0.00001869532,0.000007362419,0.00001017935,0.00003492516,0.00003325417,0.001512575],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001831838,"threshold_uncertainty_score":0.004926503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006281762127987247,"score_gpt":0.2114086643030886,"score_spread":0.2051269021751013,"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."}}