{"id":"W2565304350","doi":"10.1007/bf03402440","title":"Leaching of gold and silver from a Kupol composite sample: assessment of the CANMET enhanced leaching process (CELP)","year":2010,"lang":"en","type":"article","venue":"Mining Metallurgy & Exploration","topic":"Metal Extraction and Bioleaching","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Barrick Gold (Canada); Natural Resources Canada","funders":"","keywords":"Gold cyanidation; Leaching (pedology); Cyanide; Metallurgy; Code-excited linear prediction; Chemistry; Pulp and paper industry; Environmental science; Materials science; Engineering; Speech recognition; Computer science; Linear predictive coding; Soil 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004856373,0.0001898944,0.0003160444,0.0001004459,0.0001066136,0.00005158132,0.0001715171,0.00009851248,0.00004763938],"category_scores_gemma":[0.000140319,0.0001503338,0.00008439405,0.0001799563,0.00005533024,0.0005632516,0.00004559754,0.0004439802,0.000001050955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002290631,"about_ca_system_score_gemma":0.00003006164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003685051,"about_ca_topic_score_gemma":0.0005217514,"domain_scores_codex":[0.9987465,0.0001059034,0.0004701807,0.0002180712,0.0002981386,0.00016125],"domain_scores_gemma":[0.9991696,0.000217612,0.0002444327,0.0002562117,0.0000576818,0.00005444933],"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":[0.000007840558,0.0000316935,0.001123511,0.00006008049,0.00007571007,2.285761e-7,0.003115258,0.01200964,0.9630314,0.0002742555,0.000005706455,0.02026476],"study_design_scores_gemma":[0.0008966385,0.00008127017,0.0176724,0.0002893711,0.0002407694,0.000005750479,0.003313423,0.3432928,0.6316125,0.0008612084,0.001196658,0.000537239],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9180595,0.00005844301,0.08002626,0.0000542374,0.0005480261,0.0001634081,0.00001539585,0.00007435316,0.001000426],"genre_scores_gemma":[0.9853076,0.00001633211,0.01445047,0.00002265983,0.00008382161,0.00002061815,0.00004425677,0.00002961708,0.00002461259],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3314188,"threshold_uncertainty_score":0.6130433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0191856207801538,"score_gpt":0.2666593139779683,"score_spread":0.2474736931978145,"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."}}